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Insights and Reflections of the Impact of ChatGPT on Intelligent Knowledge Services in Libraries ZHAO Ruixue, HUANG Yongwen, MA Weilu, DONG Wenjia, XIAN Guojian, SUN Tan Journal of Library and Information Science in Agriculture    2023, 35 (1): 29-38.   DOI: 10.13998/j.cnki.issn1002-1248.23-0116 Abstract （1242）      PDF（pc） （1127KB）（2634）       Knowledge map    Save [Purpose/Significance] This study is focused on the current popular "chatbot" ChatGPT to deepen users' overall cognition of ChatGPT, and provide reference and inspiration for the development of intelligent knowledge services in libraries by combining the power of new artificial intelligence (AI) technologies.[Method/Process] The article comprehensively analyzes ChatGPT, including its development history, technical features, common application scenarios, and integrated application program paths. In addition, it compares ChatGPT with similar AI technologies developed domestically and internationally (such as Google's Brad and Meta's BlenderBot 3), intuitively reflecting that new AI technologies such as pre-training models and cognitive intelligence have become the research and development focus of major technology institutions. The article also analyzes the technical limitations and existing security risks of ChatGPT, pointing out the optimization direction for secondary development and indicating its potential hazards for other researchers. Furthermore, the potential impact of ChatGPT on the Chinese libraries and information institutions are explored. By studying the application of ChatGPT in libraries and information service institutions, this article attempts to provide an in-depth understanding of how to use this technology to improve information retrieval, knowledge management, and user engagement. Finally, a comprehensive overview of ChatGPT and its potential impact on the Chinese information environment is provided. [Results/Conclusions] The integration of new technologies such as big data and AI has great potential for China's library and information service institutions to provide better and more intelligent knowledge services. With the development of modern technologies, libraries and information service institutions have been faced with new challenges and opportunities at the same time. The challenges come from the overwhelming amount of information, the diversification of information resources, and the increasing demands of users for personalized services. The opportunities arise from the availability of advanced technologies such as big data and AI that can help libraries and information service institutions to address these challenges. By fully integrating big data and AI into libraries and information service institutions, these institutions can leverage the power of these advanced technologies to provide more intelligent knowledge services. High-quality scientific and technological resources and knowledge organization systems can play a vital role in ensuring that these institutions are equipped with the necessary infrastructure and expertise to successfully implement these technologies. In conclusion, the integration of big data and AI represents a significant opportunity for China's libraries and information service institutions to provide better and more intelligent knowledge services. By relying on high-quality scientific and technological resources and knowledge organization systems, these institutions can comprehensively improve their level of intelligent knowledge services, and better meet the needs and demands of their users in the digital age. Reference | Related Articles | Metrics | Comments（0）

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Analysis of the Group Characteristics of Yuhua Heroes based on Lightweight Ontology HE Lin, WU Shuai, YE Yahui, BAI Ying Journal of Library and Information Science in Agriculture    2022, 34 (12): 33-44.   DOI: 10.13998/j.cnki.issn1002-1248.22-0876 Abstract （159）      PDF（pc） （1276KB）（701）       Knowledge map    Save [Purpose/Significance] The spirit of Yuhuatai martyrs is one of the important components of the new democratic revolutionary spirit of the Communist Party of China (CPC). The primary documents about Yuhuatai martyrs is the significant source to record their spirit. Using text processing technologies, such as content annotation and feature construction to deeply excavate the content of the documents, which is not only conducive to carrying forward revolutionary culture and continuing the red spirit, but also beneficial to expanding the application objects of technology and promoting the improvement of text mining technology. [Method/Process] In this paper, the original documents related to Yuhuatai martyrs were used as the data source, which include 12,329 original records in 8 types of documents, including biographies of martyrs, letters, diaries, interrogation materials of the enemy and puppet governments, trial records, and oral history. Then the lightweight ontology of Yuhuatai martyrs was built, which was used as the feature description framework of Yuhuatai martyrs. Based on the domain ontology and trigger word features, relevant instances in the ontology were extracted from the documents of Yuhuatai martyrs, and the formal features of the multi-dimensional attributes of Yuhuatai martyrs were constructed and described. The categories and attributes of lightweight ontology described the Yuhuatai martyrs' group feature framework. Through the data analysis of the extracted ontology instance, the data analysis of Yuhuatai martyr group feature can be realized. [Results/Conclusions] Through the statistical analysis of the basic information, revolutionary activities and the relevant text content of the struggle in prison of Yuhuatai martyrs, this paper further revealed the group characteristics from the perspective of data, including: high education level, sacrifice at a young age, long-term struggle in the ruling center of the Kuomintang, adherence to faith, loyalty to CPC, full of family and country feelings of peace and order, and conscious practice of noble moral pursuit. By the application of lightweight ontology and other quantitative analysis methods in this paper, it is helpful to visualize the lofty ideals and beliefs of Yuhuatai martyrs, noble moral sentiments and the dauntless spirit of sacrifice for the people. This paper has a certain reference value for the presentation and dissemination of innovative Yuhuatai martyrs' spirit. Reference | Related Articles | Metrics | Comments（0）

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Digital Intelligence Integration Innovation Development of GLAM Driven by AIGC MA Lecun, ZHAN Xini, ZHU Qiyu, SUN Rong, LI Baiyang Journal of Library and Information Science in Agriculture    2023, 35 (5): 4-15.   DOI: 10.13998/j.cnki.issn1002-1248.23-0358 Abstract （285）      PDF（pc） （2499KB）（610）       Knowledge map    Save [Purpose/Significance] Recently artificial intelligence generated content (AIGC) has become an important tool for the digital development of industry in the digital intelligence integration environment. Clarifying the applicability and application scenarios of AIGC-driven innovation for galleries, libraries, archives and museums (GLAMs) as well as exploring GLAM development challenges will go far towards accelerating the transformation of GLAM digital intelligence and promoting GLAM to realize more value. As the previous research is fragmented and most of the related research only focuses on the impacts brought by a specific emerging technology such as ChatGPT or the application scenarios of a certain type of institution, especially libraries, we aim to explore the applicability, application scenarios and emerging challenges of various AIGC technologies to all GLAM institutions to ensure the systematicity of our research. [Method/Process] Based on the study of previous literature, this paper first elaborates on the applicability of AIGC to the development of GLAM digital intelligence integration from five aspects: policy, academia, industry, data, and users. Then, it analyzes the changes of GLAM digital intelligence scenarios driven by AIGC through the perspectives of technology, business, users and organizational management. Finally a discussion of the challenges faced by GLAM and the expectations for its future of digital intelligence integration is provided. In the section of applicability, policy documents are listed to illustrate the overlapping effect, and a review is provided on the development of the Semantic Web to metaverse, Web 3.0, then to AIGC to show the possibility of continuous research from an academic perspective for the GLAM to utilize AIGC. We demonstrate through several examples such as Hunan Museum that AIGC can be effective in the industry as it can create digital content and help develop the IP industry. It is also found that AIGC can help GLAM, which has a large amount of cultural data, to utilize the data, and AIGC can promote user immersive experience by specific user behavior examples. In terms of scenario change, we exemplify that the introduction of AIGC into GLAM as a collection of new technologies will first cause a huge change in technology, so that the diverse information in GLAM can produce more connections and fusion, and realize a large-scale digital twin. Second, it brings changes to the GLAM business such as AI digital human instead of real person doing inquiry service, and virtual pavilion expanding realistic exhibition hall. It also causes changes in user experience, which becomes strongly interactive, immersive and intelligent and it brings various changes to office style, cooperation mode, management mode and user information management. [Results/Conclusions] AIGC can efficiently promote the innovative development of GLAM under multiple application scenarios. In the future, GLAM institutions should actively address challenges including digital ownership protection and development, technology application benefit input-output ratio, and user conversion and evaluation, continuously promote digital talent training, expand digital technology research, and establish a complete AIGC application evaluation system based on existing resources. Reference | Related Articles | Metrics | Comments（0）

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Information Resource Management Researchers' Thinking about the Opportunities and Challenges of AIGC ZHANG Zhixiong, ZENG Jianxun, XIA Cuijuan, WANG Dongbo, LI Baiyang, CAI Yingchun Journal of Library and Information Science in Agriculture    2023, 35 (1): 4-25.   DOI: 10.13998/j.cnki.issn1002-1248.23-0118 Abstract （688）      PDF（pc） （4191KB）（586）       Knowledge map    Save With the explosive popularity of ChatGPT and the development of AI generated content (AIGC), the new generation of artificial intelligence (AI) technology has triggered people's imagination and discussion about the production mode of digital content and the industry transformation. At the same time, it also prompted more scholars' thinking beyond embracing the technological changes in the field information resource management. Based on this, we invited 6 experts to carry out related discussions from the perspective of the disciplinary construction and development of information resource management. (1) AIGC and the field of library and information service: The essence of the rapid development of AI technology lies in the improvement of people's ability in knowledge acquisition brought by the continuous enrichment of data resources and the improvement of quality. The professionals in the field of library and information service should fully understand their value and their role, give full play to the advantages of data resources in libraries, effectively utilize their expertise in knowledge organization and management, actively promote research and development of AI technology, and contribute their wisdom and solutions. (2) The disruptive change brought about by AIGC: The emergence of ChatGPT has brought subversive challenges to the library and information service field. The professionals in this field should actively promote the transformation of the AI era, seize the opportunity, and explore new growth points around knowledge production, resource discovery, knowledge relevance and scientific research ethics. In addition, they should give play to the advantages of our country's political system and intensive development policies, promote the transformation of information services to knowledge content generation service, and raise the knowledge productivity of the whole society. (3) AIGC and cultural heritage resources: ChatGPT has ushered in an era of model-driven content production and carry out innovation in the mode of intelligent service of cultural heritage resources supported by AIGC. In addition, this paper also analyzes the copyright ownership, real-time, interpretability, verifiability, trustworthiness, algorithm bias and cognitive misdirection of large-scale AIGCs. In the future, universal value rationality such as public order and good customs should be endowed with the AIGC, and the paradigm change in the field of cultural heritage should be actively welcomed and promoted. (4) AIGC and researches on intelligent information processing of ancient books: While ChatGPT plays a positive role in promoting intelligent information processing of ancient books and promoting cultural transmission and civilization inheritance, it also brings challenges in cultural value and national security, content security and information governance, information literacy and humanistic education. It is necessary to make efforts in the aspects like providing higher quality and larger scale of precise processing of ancient books in the future, so as to build a scientific, comprehensive and systematic system of information security and digital ethics. (5) AIGC and intelligent tool revolution: This paper analyzes the three elements of big data, giant model and huge computing power in the development of AIGC technology, as well as the four development directions of large and complete data volume, fine granularity of data analysis, multi-source and multi-mode semantic integration of semantic association, human-computer integration of information services and intelligent interaction. It is pointed out that AIGC will bring about the paradigm change of content production in three aspects: production innovation, automatic generation and ecological cultivation. At the same time, it will also bring challenges in technology monopoly and hegemony, network information security technology integration and other aspects. (6) AIGC and library: Based on the analysis of the core technology innovation trend in the ChatGPT model expansion, data enhancement and model fusion, this paper demonstrates the necessity and crisis of using ChatGPT in libraries. In addition, from five aspects of intelligent management system, retrieval system, recommendation system, question answering system and search engine, this paper puts forward some suggestions on the use of GPT in library service integration and innovation promotion. Related Articles | Metrics | Comments（0）

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Innovative Development of AIGC and GLAM: Review of "Shaping the Future: AIGC and GLAM Innovative Development" Cutting-Edge Academic Forum LV Ruijuan, ZHANG Jingbei, YAN Dan, CAI Yingchun Journal of Library and Information Science in Agriculture    2023, 35 (5): 27-36.   DOI: 10.13998/j.cnki.issn1002-1248.23-0424 Abstract （439）      PDF（pc） （941KB）（585）       Knowledge map    Save [Purpose/Significance] The new generation of generative artificial intelligence technology and its applications have entered a new stage of development. Models such as ChatGPT are leading the way in model-driven content generation, ushering in a new era and attracting discussions and attention from various sectors. Currently, there is a wealth of research on artificial intelligence from the perspectives of technological advancements, machine language, algorithm models, application scenarios and so on. However, there are relatively fewer articles specifically focusing on the application of AI generated content (AIGC) in GLAM fields, such as galleries, libraries, art museums. AI in the GLAM field is currently undergoing a transition from digitization to intelligentized level. Therefore, this paper explores the multi-scenario innovative applications of AI in the GLAM field with the theme of "Shaping the Future: AIGC and GLAM Innovative Development", which aims to contribute to the innovation research of AI and cultural, development and provide valuable insights in this field. [Method/Process] The structure of this paper consists of three parts: the evolution and current status of AIGC, the exploration of AIGC's applications in various scenarios within the GLAM field, the risks and challenges faced by AIGC and GLAM in terms of innovative development. Firstly the article provides a brief introduction to the development history of artificial intelligence, the concept of AIGC, algorithm models, typical features, and its current development status both domestically and internationally. Secondly, it presents a review and summary of existing application cases of AIGC in the GLAM field, including the use of virtual scenarios, virtual IP idols, ancient book OCR technology, VR/AR experiences in the fields of image analysis, digital humanities research, and new formats of digital cultural industries. The article analyzes how AIGC enriches the content production, innovation, and user interaction modes, as well as resource management models within GLAM. It also highlights the potential significant advantages in specific areas such as digital individuals, digital collections, and digital media. Lastly, the paper addresses the potential risks and challenges that may arise during the process of AIGC and GLAM's innovative development. These challenges encompass technical aspects, algorithmic biases, network information security, ethical and moral considerations, academic research, publishing and legal regulations. [Results/Conclusions] AIGC possesses advantages such as high efficiency, intelligence, and immersive experiences. It not only brings about transformative changes in content within the GLAM field but also breaks free from traditional interactive modes characterized by singularity and flatness in user engagement. By leveraging technologies such as VR/AR, virtual digital characters, and virtual spaces, AIGC enables diverse and three-dimensional interaction models with customs, thereby significantly expanding the applications in the GLAM field. If we appropriately and fully utilize the valuable opportunities presented by AIGC, it can play a positive role in inheriting and promoting the Chinese excellent civilization and cultural heritage. Furthermore, it will also play a crucial role in accelerating the digital transformation and upgrading of the cultural industry. Reference | Related Articles | Metrics | Comments（0）

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Impacts of Heuristic-Systematic Clues on Health Information Adoption of Mobile Short Video Apps: Based on SEM and fsQCA LI Li, HAN Ping, ZHANG Hong, ZHANG Weijuan Journal of Library and Information Science in Agriculture    2023, 35 (1): 73-86.   DOI: 10.13998/j.cnki.issn1002-1248.22-0779 Abstract （152）      PDF（pc） （1878KB）（547）       Knowledge map    Save [Purpose/Significance] Mobile short video apps like Tiktok have become one of the most frequently used tools to obtain/exchange health information in post-epidemic era. This study analyzed the complex relationships between the antecedents and users' health information adoption in mobile short video apps in terms of necessary and sufficient conditions, in order to optimize users' experience with health information adoption systematically, which in turn generates users' sustainability. [Method/Process] Based on both the information adoption model (IAM) and the heuristic-systematic model (HSM), this study constructed a health information adoption model of mobile short videos, in which five predictor variables (content quality, expression quality, information source credibility, app's reputation, perceived information usefulness) and an outcome variable (health information adoption) were included. The construct validity, reliability and symmetrical relationships between the five predictor variables and an outcome condition were examined using structural equation model (SEM) method. Fuzzy-set qualitative comparative analysis (fsQCA) was used to examine and reveal the configuration models. [Results/Conclusions] The results from PLS-SEM method and fsQCA validated the IAM and HSM in the context of mobile short video apps. Specifically, the results from PLS-SEM show that systematic and heuristic clues jointly affect users' adoption of health information. Content quality, app's reputation and information resource credibility significantly impact perceived information usefulness, and further affect the health information adoption. Expression quality has a significant effect on content quality, but no obvious effects on perceived information usefulness and health information adoption. The results of fsQCA reveal three configurations to affect users' health information adoption (i.e., content quality * expression quality * perceived information usefulness * information resource credibility), and another three configurations to affect users' non-adoption i.e., ~content quality * ~perceived information usefulness * ~information resource credibility), in which the latter configurations are asymmetric with the former. The configurations where systematic clues are predominant (S1a and S1b) are more sufficient for promoting users' health information adoption. N1(~ content quality * ~ perceived information usefulness * ~ information resource credibility). This shows the most sufficient configuration path in non-adoption. This study is aimed at exploring users' adoption and non-adoption decision-making process in a growing context of mobile short video apps like Tiktok, in order to contribute to helpful advice for the better management of these apps, which will eventually optimize users' experience with health information behavior. Users always engaged in many kinds of information activities such as information sharing, retweeting, adoption, and some relationships between these activities may exists. Due to the limited length, we did not consider users' other information behavior i.e., retweeting) and the relationship between them in this context, which could possibly be further research directions. Reference | Related Articles | Metrics | Comments（0）

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A Survey of Author Name Disambiguation Techniques of Academic Papers WANG Xin, LU Yao, YUAN Xue, ZHAO Wanjing, CHEN Li, LIU Minjuan Journal of Library and Information Science in Agriculture    2022, 34 (10): 82-90.   DOI: 10.13998/j.cnki.issn1002-1248.21-0906 Abstract （368）      PDF（pc） （1018KB）（470）       Knowledge map    Save [Purpose/Significance] This paper investigates the research on author name disambiguation published in recent years, and reviews the development context of relevant research from the perspective of the impact of data on author name disambiguation methods, so as to provide reference for further research. [Method/Process] The papers related to author name disambiguation were collected from English research databases such as Web of Science, Scopus, Google Academic, ACM Digital Library, IEEE Xplore, ScienceDirect, Scopus and Springer Link, and Chinese research databases such as CNKI, CQVIP and WANFANG. The search results cover the relevant papers published from 1998 to 2021. On the premise of giving consideration to authority, influence and novelty, 46 publicationswere selected for review. There are many types and structures of author name disambiguation data. For example, literature feature information is generally presented in unstructured text, and the extracted features can be stored and represented in two-dimensional tables; Citation information and interpersonal relationship are network relational data, which can be stored and represented by graphs, key value pairs or two-dimensional tables. The fundamental reason for different data structures lies in their semantic differences, but the data structure itself determines its applicable algorithm. According to the structure of characteristic data used in the author name disambiguation task and the different corresponding data processing algorithms, the relevant research is divided into three categories: 1) disambiguation method based on literature characteristics, 2) disambiguation method based on social network and 3) disambiguation method by integrating external knowledge. The impact of data on the author name disambiguation method is examined from the data level. [Results/Conclusions] The analysis found that with the progress of technology, deep learning methods have been widely used. Compared with the improvement of the model, the feature learning and representation based on deep learning can significantly improve the effect of the author name disambiguation algorithm. In addition, in order to overcome the problem of insufficient data utilization by a single method and improve the utilization efficiency of data, the three methods show the trend of mutual combination and complementary gain. From the literature research results, there are few related studies on incremental author name disambiguation and multi-language author name disambiguation, which could be one of the directions for further research. Reference | Related Articles | Metrics | Comments（0）

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Towards Known Unknowns: GPT Large Language Models Empower Human-Centered Information Retrieval SHOU Jianqi Journal of Library and Information Science in Agriculture    2023, 35 (5): 16-26.   DOI: 10.13998/j.cnki.issn1002-1248.23-0386 Abstract （318）      PDF（pc） （1547KB）（456）       Knowledge map    Save [Purpose/Significance] The foundation of public library services lies within information retrieval (IR), an area that has a profound societal impact through activities such as digital resource integration and the advancement of societal equity. Current methodologies focus primarily on classical keyword-based Online Public Access Catalog (OPAC)-like top-down retrieval and large language model (LLM) based point-to-point retrieval. Unfortunately, these approaches individually fail to strike a balance between flexibility and reliability, hindering the evolution towards user-centric IR systems. Consequently, there is an urgent need for an innovative retrieval strategy that fosters a human-centered IR paradigm. [Method/Process] Contrary to the prevalent school of thought that advocates for the complete substitution of classical OPAC-like approach with LLM methods such as GPT, we put forward a groundbreaking proposal that synergizes the merits of both strategies. This proposition represents the inaugural effort of this kind within the scholarly community of public information service. We introduce the adaptive literature retrieval framework (ALRF), an innovative approach grounded in the principles of cognitive science, addressing the critical user challenge in retrieval - the pursuit of known unknown knowledge (KUK). KUK originates from a user's explicit understanding of the desired outcome, without comprehending the associated domain-specific terminology, thereby lacking the necessary entry point for a keyword-based search. ALRF's novel two-stage workflow caters specifically to such situations: (i) users can identify target keywords or keywords at a more abstract level by entering descriptions in natural language, thus implementing a bottom-up strategy; (ii) utilizing these extracted keywords, users can then conduct a top-down search. ALRF accommodates LLMs such as ChatGPT, GPT-4, and ERNIE Bot. The platform's effectiveness in retrieving literature from diverse fields such as science and engineering, biology and medicine, literature and sociology was carefully evaluated. [Results/Conclusions] The ALRF significantly outperforms standard methods, i.e., LLM-based retrieval service and OPAC-like retrieval service, in terms of both flexibility and reliability. This holds true for tasks involving keyword abstraction (i.e., identifying keywords at a higher level of abstraction in the target domain) and property extraction (i.e., locating keywords with specific attributes but at the same abstraction level as the target domain). Consequently, it addresses the pressing need for KUK retrieval, signifying that ALRF has showcased initial potential to cater to the diverse and personalized retrieval requirements of users. This suggests that ALRF could potentially revolutionize public information services by placing humans at the center of its operation. Regrettably, a current hindrance to the wider adoption of ALRF in public IR in China is the pace of development of powerful LLMs by Chinese corporations. We recommend that researchers remain abreast of such advancements to be cognizant of the realistic possibilities and limitations in real-world applications. Reference | Related Articles | Metrics | Comments（0）

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Ecological Mechanism of User Information Interaction in the Metaverse Environment GUO Yajun, YUAN Yiming, ZHANG Tengfei Journal of Library and Information Science in Agriculture    2022, 34 (6): 4-13.   DOI: 10.13998/j.cnki.issn1002-1248.22-0424 Abstract （401）      PDF（pc） （4229KB）（448）       Knowledge map    Save [Purpose/Significance] Information ecology, as a kind of overall scenario of user information interaction behavior, reveals the basic logic of information flow among information elements in a particular environment. The study of information ecology in traditional information environment has been relatively mature. With the arrival of the metaverse, its characteristics of virtualization, immersion and decentralization have transformed user information interaction behavior, which in turn has brought about changes of the ecological interaction mechanism. We need to analyze the ecological mechanism of information interaction in the metaverse environment, in order to provide reference for relevant information theory research and promote the birth of metaverse informatics. [Method/Process] This paper stands on the information ecology perspective, takes the four ecological elements of information people, information, information environment and information technology as the entry point, and divides the information interaction ecology under the metaverse environment into three layers of architecture: information interaction, information data and information technology. Among them, the information interaction layer contains information users and information environment. Unlike the information ecological chain, each information user in the information interaction ecology under the metaverse environment is an integration of information producer, transmitter and consumer. Unlike the linear information flow in the information ecological chain, the information flow in the metaverse will show a wave-like diffusion. The information data layer provides the information resources in the information interaction ecology, and in this layer, we discuss the process from production to management of information resources under the metaverse environment. The information technology layer is the implementation path and basic support of the whole information interaction ecology, and in this layer we introduce several information technologies commonly used in the metaverse information interaction ecology. Through the above three-layer architecture, we have discussed the ecological composition of information interaction, information interaction logic, and information movement process as a whole to constitute the user information ecological mechanism under the metaverse enviornment. [Results/Conclusions] This paper constructs an ecological mechanism of user information interaction in the metaverse with a hierarchical architecture from the physical environment to the interaction scene, and provides strategies for the development of this mechanism from the perspectives of user, resource, technology, and governance. Taking the metaverse as the theoretical background, this study re-examines and expands the traditional information ecology theory, with the aim to provide a boost to the development of metaverse informatics. It is worth stating that the ecological mechanism of metaverse information interaction proposed in this paper is a theoretical prediction based on existing research, and the empirical conditions are insufficient. Reference | Related Articles | Metrics | Comments（0）

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Journal of Library and Information Science in Agriculture    2023, 35 (9): 100-101.   Abstract （24）      PDF（pc） （787KB）（415）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Construction and Application of the Evaluation Indicator System of Government Data Openness Maturity in China WANG Lin, YAO Feifei Journal of Library and Information Science in Agriculture    2023, 35 (1): 56-72.   DOI: 10.13998/j.cnki.issn1002-1248.22-0740 Abstract （171）      PDF（pc） （2833KB）（382）       Knowledge map    Save [Purpose/Significance] At present, governments at different levels in China are faced with some problems and challenges in opening up government data such as lagging policy legislation, data unable to meet public demand, insufficient platform service function and integration, imperfect data openness innovation mechanism, and a lack of unified management institutions. The purpose of this paper aims at construction of a stage maturity model to build an evaluation indicator system to measure government data openness maturity, It is important for the local government to understand which level of development their open data is at and which areas need to be improved, in order to comprehensively understand and grasp the actual level of local government data openness in China, which is important for strengthening the construction of sunshine government and e-government, optimizing the process of government data openness, and promoting the innovative development of government data openness. [Method/Process] Based on the idea of the software capability maturity model Capability Maturity Model (CMM), the Chinese government data openness maturity model was constructed, and then a data openness evaluation indicator system was also established on the basis of the maturity model. The government data openness maturity model includes strategic level, data level, technical level, organizational level and application level, and the levels are divided into five categories: initial level, document level, development level, open level and optimization level. The evaluation indicator system consists of 5 primary indicators, 11 secondary indicators and 35 tertiary indicators. The combination weights of the indicators were calculated by using the AHP-entropy weight method. Then, we designed the scoring rules, set the scoring criteria, and scored the four municipalities directly under the central government of China according to the actual situation. [Results/Conclusions] According to the ratings of the four municipalities, Shanghai has a good overall performance, followed by Beijing, Tianjin, and Chongqing. The municipalities directly under the central government are better in terms of related policies launched, but they are lacking in terms of platform function construction, the degree of perfection of local policies and regulations, and the interaction ability with users, which need to be further strengthened. The open government data evaluation indicator system proposed in this paper needs continuous improvement in terms of indicator selection and scoring criteria. In some aspects, the effect of using one indicator alone may not be satisfactory, and the follow-up study involving more elements will summarize more experiences and collect more experts' opinions in the field of government data openness to further improve the government data openness maturity evaluation indicator system. Reference | Related Articles | Metrics | Comments（0）

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Research on Intangible Cultural Heritage Digital Resources Development Based on NFT MOU Lijun, XU Xin Journal of Library and Information Science in Agriculture    2022, 34 (6): 14-23.   DOI: 10.13998/j.cnki.issn1002-1248.22-0453 Abstract （584）      PDF（pc） （973KB）（350）       Knowledge map    Save [Purpose/Significance] Intangible cultural heritage, as a typical representative of excellent traditional Chinese culture, have extremely high social value and cultural value, and the current intangible cultural heritage digital resources development work has made some progresses. However, the distribution of resources is fragmented, displaying the resource "island" phenomenon, and the developers are difficult to form a synergistic effect, user's requirements and live condition, input and output are difficult to balance, leading to the outcome are affected. Therefore, we use the NFT to organize intangible cultural heritage digital resources development, which can better realize the dissemination and inheritance of intangible cultural heritage. [Method/Process] According to online survey and literature research, this paper analyzes the deep problems of the intangible cultural heritage digital resources development, introduces the key technology of NFT, which including smart contracts and blockchain, discusses the feasibility in intangible cultural heritage digital resources development. At the subject level, the development based on NFT integrates the strength of various institutions, promotes the multi-developer cooperation. At the method level, the development meets the three needs of users and realizes the live development. At the economic level, the balance between input and output has been achieved, and economic and social values are unified. In addition, this paper puts forward the development architecture based on NFT according to the characteristics of intangible cultural heritage digital resources, which can be divided into network layer, consensus layer, contract layer, resource layer and user layer from bottom to top. Then we expound the application processes and implementation strategies. [Results/Conclusions] The NFT has many advantages in transactions. For example, digital collection transactions record ownership and its flow on a blockchain, the whole transfer process is open and transparent, solving the problem of authenticity of the collection. What's more, NFT brings a new confirmation model, in the new model, the entire blockchain recognizes the sole ownership of the owner, which has revolutionary significance for intellectual property protection. Based on the blockchain, we introduced the NFT into the intangible cultural heritage digital resources development, which is conducive to the copyright protection and develop traceability, provides a reference path for the fine-grained intangible cultural heritage digital resources development. In addition, the architecture has a certain universality, and it needs to be combined with the specific intangible cultural heritage project, resource type, digital format and other personalized requirements. With the maturity of the Meta-Universe ecology, intangible cultural heritage digital resources, as a potential cultural resource, can be further innovated and developed, and derive more forms. Reference | Related Articles | Metrics | Comments（0）

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Applications and Prospect Analysis of Deep Learning in Plant Genomics and Crop Breeding HOU Xiangying, CUI Yunpeng, LIU Juan Journal of Library and Information Science in Agriculture    2022, 34 (8): 4-18.   DOI: 10.13998/j.cnki.issn1002-1248.22-0101 Abstract （522）      PDF（pc） （1977KB）（346）       Knowledge map    Save [Purpose/Significance] Advances in single-cell sequencing and high-throughput technology have made it possible for plant genomics to accumulate large quantities of data describing multidimensional genomic-wide molecular phenotypes at low cost. As powerful data mining tools, deep learning techniques can be utilized to further predict and interpret the acquired molecular phenotypes. In recent studies, deep learning has been shown to yield significant results in plant genomics and crop breeding research. However, a complete review of deep learning applications in plant genomics is lacking. [Method/Process] The input to deep learning applied to genomics is usually biological sequences and molecular phenotypes as predictor and target variables, respectively. We introduced the workflow from four views: input data pre-processing includes retrieval, coding, and splitting; model construction and training includes the selection of model architecture and hyperparameters; model evaluation and interpretability. Specifically, this paper introduces the background of deep learning approaches, including the latest graph neural networks; then it discusses two prominent issues in the intersection of genomics and deep learning with respect to gene characterization and protein characterization: 1) how to model the flow of information from plant genomic DNA sequences to molecular phenotypes; and 2) how deep learning models can be utilized to identify functional variation in natural populations? Specifically, the paper summarizes the current status of deep learning applications in related fields, which include deep learning and DNA and gene characterization research, interpretability of deep learning in genomics applications, graph neural networks in genomics, deep learning and genomic variation research, deep learning in protein prediction, ALPHAFOLD in protein prediction, deep learning and crop breeding research, and unsupervised learning in genomics and protein characterization. [Results/Conclusions] This article summarizes how traditional deep-learning algorithms, graph deep-learning, generative adversarial networks and interpretable AI are applied in current research in order to address these two problems. Finally, the prospects for deep learning in future plant genomics research and crop improvement are discussed. Overall, deep learning has provided better results than conventional methods in many genomics research directions, and the application of deep learning in genomics has yielded early applications of scientific and economic significance. Deep learning offers two distinct advantages: 1) end-to-end learning, with the ability to integrate multiple pre-processing steps into a single model; and 2) multimodal data processing capabilities that can handle extremely heterogeneous data in genomics. The advancement of deep learning has the potential to expand new research perspectives in genomics and crop breeding, and to facilitate larger-scale association studies in both phenotypic and genotypic genomics as algorithms become more accurate. Reference | Related Articles | Metrics | Comments（0）

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Analysis and Enlightenment of International Deepfake Technology Policy Texts: Taking the United States and the European Union as Examples ZHAO Xueqin, LI Tian'e, HU Huihui Journal of Library and Information Science in Agriculture    2022, 34 (9): 60-71.   DOI: 10.13998/j.cnki.issn1002-1248.22-0501 Abstract （275）      PDF（pc） （1283KB）（324）       Knowledge map    Save [Purpose/Significance] In the digital age, artificial intelligence (AI) technologies based on intelligent algorithms have a huge impact on people's lives, and one representative technology is deepfake technology. It is a derivative technology that appears naturally in the development of AI technology, and is mainly used in speech synthesis, AI face changing, etc. However, the abuse of deepfake technologies has caused varying degrees of threat to national security, social and public security, and privacy and reputation. Therefore, it is necessary for the government to formulate policies to guide the behavior of deepfake technology subjects. [Method/Process] Through online research, it is found that the United States and the European Union have paid much attention to the alienation of deepfake technology, and have formulated a series of policies to govern it. Therefore, the deepfake technology policies of the United States and the European Union were selected as the research object. This paper adopts the "X-Y" two-dimensional analysis framework to analyze the deepfake policy text. The X dimension is the basic policy tool, and the Y dimension is the perspective of how to deal with technology alienation. Finally, a comprehensive analysis of the two was carried out, that is, the application of policy tools in dealing with technology alienation is studied. This paper uses Nvivo12 to complete the coding of policy tools, codes the policy terms one by one according to the selected policy tool types, and then analyzes the coding results and draws conclusions. [Results/Conclusions] The deepfake technology policies of the United States and the European Union have certain characteristics in content, such as focusing on environmental policy tools, paying more attention to the governance of technology, individuals and organizations, and focusing on the publicity and education of technology ethics. But in general, it is based on its existing system to increase the governance of the alienation phenomenon of deepfake technology, so as to strengthen the mutual promotion and integration of new policies and old policies. For China, the governance of deepfake technology alienation should be started as soon as possible. Specific measures include formulating deepfake technology alienation governance plans, promoteing government-led deepfake technology innovation practices, realizing the combination of technology ethics and policy tools, actively participating in international governance of deepfake technology alienation. In addition, this paper takes the deepfake technology policies of the United States and the European Union as an example, which has certain limitations, so in the future research, we will expand the selection of samples. Reference | Related Articles | Metrics | Comments（0）

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Innovative Development and Utilization of Agricultural Cultural Heritage Enabled by Digital Technologies HE Mengfan, XIONG Lejia, DING Ying, YANG Weishu Journal of Library and Information Science in Agriculture    2023, 35 (3): 71-80.   DOI: 10.13998/j.cnki.issn1002-1248.22-0822 Abstract （64）      PDF（pc） （1286KB）（316）       Knowledge map    Save [Purpose/Significance] The agricultural cultural heritage embodies the traditional farming wisdom, unique natural scenery and rich biodiversity formed through hundreds and thousands of years of inheritance. The study of digital technology-enabled development and utilization of agricultural cultural heritage is conducive to fully exploring the modern value of agricultural cultural heritage, strengthening the integrated interaction with the key work of rural revitalization, such as the development of modern agriculture, the construction of beautiful countryside, the construction of ecological civilization, and the entrepreneurship and innovation of farmers. On top of that, it is beneficial to the sustainable development of agricultural cultural heritage and is related to the successful implementation of the rural revitalization strategy. [Method/Process] By using the methods of literature analysis, case study and field survey, the current status and problems of agricultural cultural heritage are comprehensively reviewed. There are some problems, such as insufficient application of innovation in agricultural cultural heritage areas and inadequate value exploration. In this regard, the article puts forward several measures for the development and utilization of agricultural cultural heritage resources enabled by digital technologies after the analysis of digital management of agricultural cultural heritage resources, including building public brands in agricultural cultural heritage areas to form industrial clusters. This article takes "Anhua Black Tea" as an example to analyze the brand digital marketing mechanism and takes Li Ziqi's short videos as another example to analyze how to attract e-commerce traffic and realize traffic in the new media era and build a local brand with local characteristics with the help of "Internet plus Agriculture." It provides ideas and solutions for the development and utilization of digital technology-enabled agricultural cultural heritage. [Results/Conclusions] With the transformation of social economy, the traditional production mode of agricultural cultural heritage can no longer meet the needs of modern society. In order to make agricultural cultural heritage continue to "live", it is necessary to explore its multiple values, enable the modernization transformation of agricultural cultural heritage with the help of digital technology, realize its living state inheritance, improve the comprehensive benefits of agricultural cultural heritage and maintain sustainable development. The study explores the digital development, open communication, new scene construction and innovative utilization of agricultural cultural heritage, which can be realized through the Internet and digital technologies. Agricultural cultural heritage has many characteristics, such as brand differentiation, brand subdivision, and precise description of natural scenery, high-quality agricultural products and cultural connotation of agricultural cultural heritage. With the help of new media marketing, the ecological advantages and industrial value of agricultural cultural heritage system are explored to maximize the value of resources. A limitation of this study is that there still lacks quantitative analysis. Future research will use structural equation model and other tools to analyze the factors that affect the conversion rate of agricultural account traffic from multiple aspects such as video content, audience and platforms. Reference | Related Articles | Metrics | Comments（0）

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The Mechanism of Personal Data Transfers of Social Network Users YUAN Fan Journal of Library and Information Science in Agriculture    2022, 34 (5): 76-91.   DOI: 10.13998/j.cnki.issn1002-1248.21-0622 Abstract （215）      PDF（pc） （3377KB）（303）       Knowledge map    Save [Purpose/Significance] As a typical pattern of user-centered information service, social network has become increasingly pervasive throughout every aspect of users' lives, whereas resulting in some safety problems, for instance data abuse and data monopoly. Users' power of control over personal data has been weakened. The digital market has witnessed the incidence of restrained competition and suppressed innovation, which leads to the impaired vitality of the national digital economy. Nationally, much more attention has been drawn to the protection of users' data rights and interests. Likewise, with the advancement of information technology, it is possible to transfer users' data across platforms. However, the absence of management mechanism makes it impossible to bridge the gap of users' cross platform access, acquisition and transfer of personal data. Hence, on the basis of the investigation and analysis of international successful data transfer modes within the domestic digital network environment, this research aims to construct a personal data transfer mechanism for social network users for breaking the data blockade and protect their digital rights and interests. [Method/Process] To provide the insights into existing research on management mechanism of user's personal data transfer, this research has investigated and reviewed systematically the data transfer systems at home and abroad represented by Data Portability, California Consumer Privacy Protection Law and Anti-Monopoly Law, in such a way that a horizontal comparison from the aspects of system characteristics and connotation, and an analysis of the effectiveness and existing problems of a data transfer system in protecting user's data rights and breaking data monopoly were conducted. Furthermore, according to the characteristics of social network platform, some representative cases like Facebook, SoLiD, and WeChat were chosen to investigate and analyze the mode, characteristics and impact of user's personal data transfer, and then ten mainstream social network platforms at home and abroad were selected in terms of the different number of downloads, users and other indicators of a digital platform. From collecting content, transferable data to data format, a horizontal comparative analysis was conducted to summarize the mode and problems of data transfer on social network platforms. Finally, based on the users' needs of personal information resource management and government digital governance, this research has designed the whole process management organization structure of user personal data transfer, including trust mechanism, feedback mechanism, evaluation mechanism, deletion mechanism and supervision mechanism. To form a personal data transfer mechanism for social network users, the paths of user data acquisition, transfer and deletion were utilized and developed in the context of three phases, before, in and after the transfer. [Results/Conclusions] The data transfer mechanism empowers users' data to be transferred between different digital platforms, effectively breaking the monopoly of large-scale social network platforms on users' personal data. The free transfer of user data lowers the threshold for new entrants of social network services, addressing the significance of the data competition and innovation in the industry of information service. More significantly, some insights could be identified to promote the social network platform for optimizing the technology, product and service mode, and further enriching users' experience, which benefits the ecology-oriented development of digital industry. Reference | Related Articles | Metrics | Comments（0）

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Advancing the Work on Ancient Classics in the New Era and Accelerating Innovative and Intelligent Development HUANG Shuiqing, WANG Xiaoguang, XIA Cuijuan, OUYANG Jiang Journal of Library and Information Science in Agriculture    2022, 34 (5): 4-20.   DOI: 10.13998/j.cnki.issn1002-1248.22-0359 Abstract （554）      PDF（pc） （1562KB）（299）       Knowledge map    Save The promulgation of the Opinions on Advancing the Management Work on Ancient Classics in the New Era brought great development opportunities to the research on protection and management of ancient books and documents, the innovative development of digital humanities and the upgrading of cultural industry. Over the past 40 years of reform and opening up, the work on protection and management of ancient books and documents in China has achieved fruitful results. In order to advance the management work on ancient classics in the new era, and promote the sharing, publicity and reuse of ancient books and docuemnts, the Journal of Library and Information Science in Agriculture organized a special seminar on four directions.1)Computing humanities should become an important discipline method for the research and management work of ancient books and docuemnts in the new era. By making full use of computing humanities' theories and methods, and giving full play to the advantages of the knowledge base of ancient classics and related knowledge service platforms in humanities computing, semantic publishing and cultural popularization, more abundant resource base, more convenient technical support and more intuitive promotion form for the work on ancient classics in the New Era will be obtained.2)Data intelligence empowerment brings new opportunities to the development of ancient classics. In recent years, with the progress of image OCR recognition, natural language processing and machine learning technologies and their successful applications in the managment work on ancient books and documents, the management work on ancient classics has begun to advance from digital development to intelligent development.3)New technologies are explored for the sharing, publicity and reuse of ancient classics. Although the professionals in the industry of ancient books have been reducing the cost of and limitation to sharing ancient books by establishing the normative guarantee at the institutional level and exploring technological forces for a long time, they still fail to achieve the ideal effect on how to achieve the balance between preservation and utilization. The introduction of new technologies such as blockchain, the new business models such as non-homogeneous tokens, and the initial formation of new digital media industry chains such as "virtual digital human" and "digital collections" will provide new opportunities for the asset-based management of ancient books, and the development of cultural and creative products and the evidence-based on-chain based on the digital content of ancient books.4)Vitality and utilization of ancient books is the new task for the professionals in the industry. The aim can be achieved by using the text-orientation, datafication and knowledgeization as the means of transformation and utilization of ancient book resources in the new era, actively building the national digital resource platform of ancient books, and constructing the ancient book knowledge system through artificial intelligence, virtual reality technologies, and other intelligent media. Related Articles | Metrics | Comments（0）

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VOSviewer Application Status and Its Knowledge Base LI Jie, WEI Ruibi Journal of Library and Information Science in Agriculture    2022, 34 (6): 61-71.   DOI: 10.13998/j.cnki.issn1002-1248.21-0843 Abstract （379）      PDF（pc） （4099KB）（295）       Knowledge map    Save [Purpose/Significance] VOSviewer is a software tool for constructing and visualizing bibliometric networks which may include citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer Online creates the possibility to embed interactive visualizations on online platforms. The software's powerful functions in processing literature information, coupled with free and continuous improvement, are increasingly favored by experts and scholars in scientometrics and domain analysis. It provides a reference for users to use this tool for scientific research through quantitative analysis of VOSviewer's papers and the analysis of its knowledge base structure. [Method/Process] First we collected relevant documents from the Web of Science database, and then used the document co-citation network to obtain some documents and analyze the important documents in this field based on bibliometric analysis. [Results/Conclusions] It was found that the number of papers in this field has entered an explosive period of application after a relatively slow growth stage. It has been widely used by scholars in many countries and disciplines. The research topics involved the novel corona virus epidemic, sustainability, social media, sustainable development and supply chain, etc. Bibliometric theory and methods, software principles, database and network analysis have formed relatively solid research foundation in this field. There is also a great deal of misuse in the applied literature. For example, a survey of the highly productive scholars' papers found that the papers are often a direct interpretation of the results generated by the software, lacking the process of data cleaning and disambiguation, and there are a large number of errors such as duplicate authors, unprocessed singular and plural topics. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature. However, there are few applied research results in this area.VOSviewer Online has been integrated in Digital Science's Dimensions platform, making it very easy for Dimensions users to create VOSviewer visualizations of co-authorship networks and citation networks. Reference | Related Articles | Metrics | Comments（0）

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Journal of Library and Information Science in Agriculture    2023, 35 (3): 104-105.   Abstract （104）      PDF（pc） （826KB）（282）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Research Progress and Implementation of FAIR Principles for Scientific Data Management CHEN Shuxian, LIU Guifeng, LIU Qiong Journal of Library and Information Science in Agriculture    2022, 34 (8): 30-41.   DOI: 10.13998/j.cnki.issn1002-1248.22-0238 Abstract （486）      PDF（pc） （1248KB）（279）       Knowledge map    Save [Purpose/Significance] With the development of data-intensive scientific research paradigm, the effective discovery and reuse of scientific data is of great significance to the sharing of research results. In order to promote scientific data utilization and improve the scientific value of data resources, the international academic community proposed the FAIR principles in 2016, aiming to promote data openness, which has so far attracted widespread attention from scholars at home and abroad. Many exploratory studies have been carried out around the FAIR principles, such as GO FAIR, and RDA, CODATA and other international organizations have been established to be devoted to open science and data sharing practices; the European Union, as the representative advocate of open science, has strongly promoted the implementation and promotion of the FAIR principles by establishing the European Open Science Cloud (EOSC) and introducing data policies, etc. The purpose of this paper is to provide a systematic and comprehensive overview of the academic achievements of FAIR principles, with the aim of providing references for the promotion and implementation of the principles and scientific data management practice in China. [Method/Process] This paper combines literature research and online research, and through content analysis, provides an in-depth analysis of literature on FAIR principles in terms of content interpretation, assessment methods, domain application, discipline application and regional application. It includes five perspectives of organization guarantee on FAIR principles, four basic principles of FAIR, practical exploration, disciplinary implementation and regional practice of FAIR principles to review the research progress and implementation of FAIR principles at home and abroad, focusing on exploring the practical value of FAIR principles, and systematically summarizing the research status and existing achievements. [Results/Conclusions] International research on FAIR principles focuses on theory, implementation strategies, and evaluation methods, For example, at the level of FAIR content, the four basic principles have been explored and discussed in practice; at the level of implementation strategies, many stakeholders have taken different measures to ensure the implementation of FAIR principles, and different organizations have developed evaluation methods. In addition, FAIR principles have been explored in the fields of medicine and other disciplines and are widely used in Europe and other regions. In contrast, domestic research is still in its infancy and national policy support and follow-up by relevant organizations is needed for further study and implementation of FAIR principles in China. Reference | Related Articles | Metrics | Comments（0）

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Application Scenario Construction of the University Metaverse Libraries QI Jing Journal of Library and Information Science in Agriculture    2022, 34 (11): 69-80.   DOI: 10.13998/j.cnki.issn1002-1248.22-0722 Abstract （326）      PDF（pc） （2213KB）（278）       Knowledge map    Save [Purpose/Significance] The emergence of the metaverse has brought new opportunities to the development of libraries, which can not only solve many challenges and problems faced by libraries since the outbreak of COVID-19 in Wuhan, but also promote the construction of smart libraries to a higher stage of development. [Method/Process] Based on literature research and online survey, this paper focuses on the connotation and characteristics of the metaverse library, constructs the application scenarios of the university metaverse library, and finally discuses the opportunities and challenges faced by the construction of the metaverse library. [Results/Conclusions] In September 2022, the China National Committee for Terminology in Science and Technology (CNTERM) invited more than 20 experts to discuss the metaverse and the concept of core terms and reached a consensus. Metaverse is a virtual world that can interact with the real world by mapping or surpassing the real world, which is constructed by human using digital technology. The metaverse library uses cloud computing, artificial intelligence, blockchain, VR/AR and other technologies as the means to build the virtual space of library services, and is combined with the real space services to provide readers with immersive experience and encourage readers to participate in the virtual community of library resource production. It has eight characteristics: immersive experience, integration of virtual and reality, human-computer interaction, multi-source information resources, space-time expansion, social network, reader economy, and thought twinning and storage. University metaverse library is an important component of Metaverse Library and a service system of university libraries in virtual space. It has the characteristics of Metaverse Library and its own characteristics. The university metaverse library will break the service mode of the real space library, and the learning experience of readers in the library will be more game-like, immersive, simple to operate, strong gain in reality and so on, which fully reflects the concept of "reader-centered". To be specific, the university metaverse library mainly has five application scenarios: virtual digital human exchange, immersive panoramic reading and space experience, librarian avatar interaction, community interaction, and reader creation to reader economy interaction. But the new technology is not yet perfect. The construction of metaverse virtual space resources is difficult; there is a lack of constraints and norms in virtual space reader behavior; the traditional library business will be impacted and other problems are the possible challenges in the process of constructing the university metaverse library. To get out of the dilemma, we need to establish a research team to enrich the practice of new technology in the library, give full play to library technical expertise to solve the problem of resource construction, use laws and regulations to restrict readers' behavior, and promote active use of services to drive the traditional library business. Reference | Related Articles | Metrics | Comments（0）

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Review of Deep Learning for Language Modeling WANG Sili, ZHANG Ling, YANG Heng, LIU Wei Journal of Library and Information Science in Agriculture    2023, 35 (8): 4-18.   DOI: 10.13998/j.cnki.issn1002-1248.23-0251 Abstract （158）      PDF（pc） （1215KB）（275）       Knowledge map    Save [Purpose/Significance] Deep learning for language modeling is one of the major methods and advanced technologies to enhance language intelligence of machines at present, which has become an indispensable important technical means for automatic processing and analysis of data resources, and intelligent mining of information and knowledge. However, there are still some difficulties in using deep learning for language modeling for technology development and application service in the library and information science (LIS) field. Therefore, this study systematically reviews and reveals the research progress, technical principles, and development methods of deep learning for language modeling, with the aim at providing reliable theoretical basis and feasible methodological paths for the deep understanding and application of deep learning for language modeling for librarians and fellow practitioners. [Method/Process] The data used in this study were collected from the WOS core database, CNKI literature database, arXiv preprint repository, GitHub open-source software hosting platform and the open resources on the Internet. Based on these data, this paper first systematically investigates the background, basic feature representation algorithms, and representative application development tools of deep learning for language modeling, reveals their dynamic evolution and technical principles, and analyzes the advantages and disadvantages and applicability of each algorithm model and development tool. Second, an in-depth analysis of the possible challenging problems faced by the development and application of deep learning for language modeling was performed, and two strategic approaches to expand their application capabilities were put forward. [Results/Conclusions] The important challenges faced by the application and development of deep learning for language modeling include numerous parameters and difficulties to adjust accuracy, relying on a large amount of accurate training data, difficulties in making changes, and the intellectual property and information security issues. In the future, we will start from two aspects of specific domains and feature engineering to expand and improve the application capabilities of deep learning for language modeling. Specifically, we focus on consideration of the collection and preparation of domain data, selection of model architecture, participation of domain experts, and optimization for specific tasks, in order to ensure that the data source of the model is more reliable and secure, and the application effect is more accurate and practical. Moreover, the strategic methods for feature engineering to expand the application capabilities of deep learning for language modeling include selecting appropriate features, feature pre-processing, feature selection, and feature dimensionality reduction. These strategies can help improve the performance and efficiency of deep learning for language models, making them more suitable for specific tasks or domains. To sum up, LIS institutions should leverage the deep learning for language modeling related technologies, guided by the needs of scientific research and social development, and based on advantages of existing literature data resources and knowledge services; they should carry out innovative professional or vertical domain intelligent knowledge management and application service, and develop technology and systems with independent intellectual property rights, which is their long-term sustainable development path. Reference | Related Articles | Metrics | Comments（0）

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Review and Prospect of Rural Public Cultural Space Research in China MIAO Meijuan Journal of Library and Information Science in Agriculture    2023, 35 (4): 4-18.   DOI: 10.13998/j.cnki.issn1002-1248.23-0222 Abstract （168）      PDF（pc） （958KB）（224）       Knowledge map    Save [Purpose/Significance] Using the concept of "public cultural space" to refer to various public cultural facilities and places in rural areas is a research trend that has gradually emerged in recent years. Under the background of rural revitalization strategy, clarifying the current research status and existing problems of rural public cultural space in China, exploring future research priorities is of great practical significance and theoretical value to promote the high-quality development of rural public cultural services, prosperous development of rural culture and the spiritual enrichment of farmers in the new era. [Method/Process] This paper reviewed relevant literature on rural public cultural spaces in China from 2012 to 2022, summarized existing research results, analyzed existing problems, and proposed future research priorities. [Results/Conclusions] The existing study mainly focuses on the overall research on rural public cultural space and the research on specific types of rural public culture. The former includes the basic theoretical issues such as the concept connotation, constituent elements, space types, value functions, development and evolution of rural public cultural space, as well as the construction status quo, existing problems and reconstruction path. The latter includes rural traditional cultural space, rural modern cultural space and rural new cultural space construction. The research of rural public cultural spaces puts increasing emphasis on the in-depth and systematic study and is focused on the theoretical value, the problem orientation and policy orientation of the research are becoming increasingly obvious. However, compared with urban public cultural space, specialized research on rural public cultural space is still relatively lacking. At the theoretical research level, research on digital or virtual public cultural spaces in rural areas in the digital and post pandemic era still needs to be improved, and research on the construction and evaluation of rural public cultural space based on the perspective of villagers' participation is still insufficient. At the practical research level, compared with modern cultural space such as township cultural stations and rural libraries, the research on new types of public cultural space such as rural bookstores and homestay bookbars that have emerged in recent years still needs to be further deepened. The innovative practice and advanced experience of traditional rural public cultural space in revitalization and transformation still lack systematic refinement. Faced with the new requirements of rural revitalization strategy and high-quality development of public culture for rural public cultural space, future in-depth research includes comparison of reconstruction paths of various types of rural public cultural space, construction of new rural public cultural space, construction of rural public cultural digital space, service innovation of rural public cultural space, evaluation indicators of rural public cultural space, and international experience and Chinese characteristics of rural public cultural space. Reference | Related Articles | Metrics | Comments（0）

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Research and Application of Spatial Scientometrics LI Lanfang, CHEN Yunwei, ZHANG Xue, DENG Yong Journal of Library and Information Science in Agriculture    2022, 34 (7): 27-38.   DOI: 10.13998/j.cnki.issn1002-1248.22-0078 Abstract （213）      PDF（pc） （1062KB）（218）       Knowledge map    Save [Purpose/Significance] As an important research field of scientometrics, spatial scientometrics has been specifically proposed by scholars to discuss the spatial aspects of scientific research activities. At present, scholars at home and abroad have carried out quantitative research of spatial scientometrics, covering almost all aspects of scientometrics; however, there is little systematic review of the concept and research progress of spatial scientometrics. This article systematically reviews, analyzes, and summarizes the related research work of spatial scientometrics, with an aim to provide a reference for scholars to carry out spatial scientometrics research. [Method/Process] Based on the introduction of the concept of scientometrics and spatial scientometrics, this paper uses the literature research method to expound from three aspects including research theme, research method and visualization practice. [Results/Conclusions] The research finds that the current spatial scientometrics research is mainly based on the geographical location attributes of scientific information, and comprehensively uses bibliometric methods, network analysis methods, model construction and statistical methods, and multi-indicators construction methods to examine scientific collaboration, scientific research output and knowledge flow. This research also reveals the remaining problems and challenges in spatial scientometrics. First, in terms of the theoretical research system, spatial scientometrics essentially serves a specific field of scientometrics research, drawing on technical methods from the fields of computer science, network science, and economic geography, and has not formed a relatively independent theoretical system. Second, in terms of method applicability and utility research, its method selection is also arbitrary. Regarding the same research problems, researchers usually choose their own and familiar methods and tools based on experience. Thus, it is difficult to accurately evaluate the scientificity and validity of their analysis results, and even different research methods and tools reveal opposed so-called "characteristics and laws". Third, in terms of data analysis sources, the existing research is mostly around the data collected from Web of Science and Scopus databases. However, for a comprehensive and objective analysis of the spatial structure of scientific activities, other forms of data should be considered such as reports, the fund-funded projects and policy documents. Last, for data acquisition, when using the literature database to conduct quantitative research, since many well-known institutions and companies are not centrally distributed organizations, it is difficult to guarantee the author's real address. Due to the different scope and definition criteria of cities in different countries, an analysis of city-level data would affect the accuracy of the analysis results. Reference | Related Articles | Metrics | Comments（0）

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Influencing Factors of Artificial Intelligence Readiness in Libraries GUO Weijia Journal of Library and Information Science in Agriculture    2022, 34 (5): 47-56.   DOI: 10.13998/j.cnki.issn1002-1248.22-0016 Abstract （411）      PDF（pc） （1389KB）（208）       Knowledge map    Save [Purpose/Significance] The research on libraries' artificial intelligence (AI) readiness and the influencing factors can help those libraries that are not ready to use AI technology to improve relevant conditions, so as to be ready to adopt AI technology for the first time. It can also help the libraries that have used AI technology to further improve the existing conditions, so as to be ready to upgrade or fully apply AI technology. This paper summarizes the influencing factors of libraries' AI readiness and constructs a theoretical model consisting of 1 core category, 4 main categories and 10 categories. [Method/Process] This paper uses an in-depth interview and grounded theory to construct the theoretical model of influencing factors. The basic process is as follows: To define the main concepts, design the outline of the in-depth interview, obtain the original data through the interview, open up the code of the original resources to form a series of initial concepts and cluster them into categories, encode the categories on the main axis to form several main categories, selectively encode the main categories to form a core category, and establish the relationship between categories. The model and hypotheses are verified by questionnaire and structural equation model. [Results/Conclusions] The results show that 9 of the 10 hypotheses proposed in the paper are valid. The nine factors including AI awareness, AI acceptance, AI value perception, AI application experience, data scale, leadership attention, innovation atmosphere, management mechanism and competitive pressure have a positive impact on a library's readiness to adopt AI. The positive impact of leadership attention is the largest, and the positive impact of competitive pressure is the smallest. The theoretical model needs to be further revised. Leaders' attention, AI application experience, AI acceptance, AI awareness and innovation atmosphere are the main influencing factors of the library's AI readiness. Accordingly, this paper gives the following suggestions. Firstly, library leaders are suggested to actively understand the latest technological progress in the field of library business, organize human resources to regularly evaluate the library's AI readiness and deploy the AI system in time. Secondly, libraries provide necessary AI training for their staff, and help them improve their awareness and acceptance of AI. Thirdly, libraries create a strong innovation atmosphere, stimulate the innovation enthusiasm of employees, and encourage employees to explore the possibility of integrating AI technology with their job tasks through various ways. Reference | Related Articles | Metrics | Comments（0）

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The Transformation and Observations of AI for Science (AI4S) Driven by Artificial Intelligence SUN Tan, ZHANG Zhixiong, ZHOU Lihong, WANG Dongbo, ZHANG Hai, LI Baiyang, YONG Suhua, ZUO Wangmeng, YANG Guanglei Journal of Library and Information Science in Agriculture    DOI: 10.13998/j.cnki.issn1002-1248.23-0850 Accepted: 20 January 2024

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Review and Prospect of Research on Technology Opportunity Identification LIU Ting, ZHAO Yajuan Journal of Library and Information Science in Agriculture    2023, 35 (7): 4-17.   DOI: 10.13998/j.cnki.issn1002-1248.23-0409 Abstract （172）      PDF（pc） （1123KB）（201）       Knowledge map    Save [Purpose/Significance] Identifying potential technological opportunities will help countries and enterprises seize scientific and technological opportunities, which is particularly important for innovation entities to enhance their core competitiveness and gain competitive advantages in scientific and technological innovation and application. A systematic review of existing research is provided on technology opportunity identification, discriminating current limitations and research prospects to provide theoretical support for further research and practice on technology opportunity identification. [Method/Process] This paper first clarifies the connotation and types of technology opportunities, and the research holds that technology opportunities can be divided into three types: emerging technology, blank technology and fusion technology. It then sorts out the research status of three different types of technology opportunity identification at home and abroad through literature review, and focuses on the summary of the characteristics of different types of technology opportunity identification. It includes the core ideas, main methods, representative literature, and each type of data sources, and evaluates the existing research results. Finally, the limitations of the current research, and the development direction of future are discussed. [Results/Conclusions] Diversified types of technology opportunity identification are found and rich research methods are used in the literature, and a relatively standardized and systematic research paradigm has come into being. By analyzing each type of technology opportunity, some common elements can be found, including representative methods, method principles, data sources, knowledge representation units, technology opportunity definitions, technology opportunity evaluation, advantages and disadvantages, and other characteristics. The main limitations of the existing research are summarized as follows. First, the existing research is primarily carried out from a single perspective view, and a complete system of cross-domain technology identification and reference methods has not yet been formed. Second, in terms of data sources, most of the data sources of technology opportunity identification are papers or patent data, and there is a lack of research on the integration of multi-source data and study on multiple relationships. In terms of identification methods, the representative technology is primarily at a macro or micro level, and the semantic relationship between words is seldom considered. Finally, in terms of post-evaluation, there is a lack of a comprehensive and systematic evaluation system. The possible research work in the future may focus on the following aspects: cross-field and cross-topic technology opportunity identification to achieve cross convergence among more technology elements will become the development trend; more diversified and targeted data sources, research methods, and research content are expected; the analysis framework and process will be more standardized, and the post-evaluation system will be improved. Reference | Related Articles | Metrics | Comments（0）

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Research on the Development Trend of Crop Breeding in China from the Supply of Innovative Elements HUANG Yichun Journal of Library and Information Science in Agriculture    2022, 34 (5): 31-46.   DOI: 10.13998/j.cnki.issn1002-1248.22-0200 Abstract （256）      PDF（pc） （1852KB）（200）       Knowledge map    Save [Purpose/Significance] A more comprehensive picture of the development trend of the hotspots can be obtained through the analysis of the supply of innovative development elements. This research aims to provide references for the improvement of the disciplinary development policy systems, the scientific deployment of special plans and the optimization of the research layouts. [Method/Process] The study is based on the text analysis and information correlation method. First, the hotspots of basic research, technological innovation, and industry reports were sorted out. Then, the agglomeration and guiding role of multi-dimensional innovation elements on hotspots was studied, such as national strategic needs, policy-oriented promotion, and R&D capital investment. Accordingly, the development trend of subject hotspots was considered. [Results/Conclusions] Taking crop breeding as an example, the hotspots were divided into three categories based on this analytical method. There are intense research interests in the following directions, containing modern biological breeding technologies such as gene-editing breeding, molecular marker-assisted breeding, genome breeding, and transgenic technology, as well as mining of key genes for crop trait regulation and research on molecular regulation mechanism of traits, and crop trait improvement, in which the innovation elements are concentrated. Therefore, a series of high-quality results are expected to be produced in the future. The investments in innovation elements are highly concentrated, and the corresponding results are expected to be further expanded in the fields of the protection, utilization and accurate identification of germplasm resources, and innovations of targeted and precise breeding technologies such as molecular design and digital intelligent breeding. Classical breeding technology systems such as ploidy breeding, genetic transformation systems, tissue culture, and cell engineering breeding, as well as crop phenotype research, are calling for the new research momentum. In summary, the hotspot research of crop breeding subject in China showed the development trend of "conventional breeding + modern biotechnology breeding + information-based precision breeding". Reference | Related Articles | Metrics | Comments（0）

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Advancing the Creative Development of Cultural Resources in LAMs for Serving China's Cultural Development Strategy WANG Yi, KE Ping, DING Huadong, WANG Yujue, ZENG Shizhan, HUANG Yang, LIN Jun, LI Nan, DENG Yongqiu Journal of Library and Information Science in Agriculture    2022, 34 (12): 4-32.   DOI: 10.13998/j.cnki.issn1002-1248.22-0900 Abstract （205）      PDF（pc） （16247KB）（195）       Knowledge map    Save Various kinds of cultural resources collected in libraries, archives and museums (LAMs) are an important part of the profound and splendid culture that has been created in the development process of China's civilization. Relying on the cultural resources in the collections of LAMs, the creative development of resources is conducive to promoting the creative transformation and innovative development of the excellent traditional Chinese culture. Similarly, it is also the important means to enrich the spiritual and cultural life of the people and to meet the diversified consumer needs. Moreover, it is the inevitable requirement to enhance the service capacity of institutions, improve the service level and enrich the service content. In order to better promote the integration and reference of theory and practice in the creative development of cultural resources in LAMs, and improve the theoretical level and experience of creative cultural research, 7 experts were invited to attend the seminar on relevant theory and practice: (1) To construct cultural creativity with Chinese characteristics: it is suggested that the development of cultural creativity be elevated to the height of serving the national strategy, so that the theoretical research of cultural creativity could be further strengthened, and the relevant research of cultural creativity could be developed as an important interdisciplinary field. (2) Creative development of cultural resources and reproduction of social memory: social memory is not only the core of cultural elements, but also the meaning framework or conceptual framework for understanding the value of cultural creative products. The article puts forward some suggestions and strategies, such as establishing the dialogue and communication mechanism of LAMs, expanding cultural and creative ways of thinking around the reproduction of the form of memory-content-meaning, and focusing on digital humanities to promote the transformation and development of cultural and creative products in LAMs. (3) The creative development of literature resources under the national culture digitization strategy: institutions such as libraries and archives begin to strive for the digital creative transformation of cultural resources, which provides reference for the digital upgrading of the development of creative products of literature resources in our country. (4) Thinking on the development of cultural creative products in museums: museums inherit and disseminate excellent traditional culture through innovative cultural products as the medium, help these products reach consumers and gain wide popularity through various means. This article summarizes the problems in the practice of cultural innovation in museums, and thinks about the road to sustainable development in the future while people are rejoicing in the cultural innovation craze in museums. (5) The practice and thinking of cultural innovation in libraries: based on the analysis of the similarities and differences between libraries and museums in cultural innovation, the paper summarizes the problems in practice and puts forward a new path of cultural innovation in libraries. (6) It is a successful case that the National Library of China conducts cultural and creative development in the way of enterprise operation. Not only does it start innovate ways of protecting and inheriting classics, make classic works come alive, improve the level of utilize classics and realize leapfrog development of cultural and creative works, but also it is of great significance to innovate the ways of library services and enhance the influence and competitiveness of library services. (7) Thinking on the creative development of "Library Gifts" series: the paper summarizes the cases and experiences of "Library Gifts" series' cultural and creative development in the National Library of China, and puts forward some opinions on the development of cultural and creative products by libraries. Related Articles | Metrics | Comments（0）

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Information Construction of Japanese Small and Medium-sized Library Websites and Its Implications for China CHEN Miao, DAI Yingcong, ZENG Siyu Journal of Library and Information Science in Agriculture    2022, 34 (8): 52-64.   DOI: 10.13998/j.cnki.issn1002-1248.22-0341 Abstract （145）      PDF（pc） （1373KB）（191）       Knowledge map    Save [Purpose/Significance] A library portal website is related to the function and social image of a library. Library website construction is also one of the tasks of the development of library cause in China during the 14th Five-Year Plan period. However, the website construction level of small and medium-sized libraries at and below the county level in China is relatively low, and effective measures are urgently needed to improve it. To this end, Japanese libraries' experience is worth learning about. Therefore, we take the websites of the municipality libraries in the Tokyo Metropolitan Area as the research objects to explore the information construction and design concept of the websites of small and medium-sized libraries in Japan, so as to provide suggestions for the improvement of the website of grass-roots libraries at and below the county level in China. [Method/Process] Firstly, we analyzed and expounded on the construction principles of small and medium-sized library websites in Japan. Then we conducted a network survey on the website construction of the libraries in Tokyo and summarized the information construction and design concept of the websites from the three aspects of website structure, UI, and function design. In terms of website structure, we investigated the design of navigation, retrieval (simple retrieval, advanced retrieval, and bibliography recommendation), regional data area, juveniles' pages (children's page, teenagers' page), mobile terminal, etc. In terms of UI, we investigated interaction design, color matching, visual identity, etc. In terms of functions, we focused on exploring the accessibility services, business support services, and education support services of the websites based on the concept of a "problem-solving library" in Japan. [Results/Conclusions] The structural design of Japanese small and medium-sized libraries' websites is oriented to the convenience of the people and pays attention to the needs of children and the regional cultural characteristics. The UI design is simple and intuitive, the color matching is soft, and the visual identity is clear. Their functional design focuses on problem-solving, especially in accessibility, business, and education support services. Therefore, according to the theory of responsible innovation, this paper puts forward four suggestions for the website construction of small and medium-sized libraries in China: (1) to be focused on local characteristics and strengthening the construction of local information resources; (2) to take users as the center to meet the diversified cultural needs; (3) to optimize basic services and improve service convenience and ease of use; (4) to rely on the general-branch library system to ensure operation to achieve sustainability. Reference | Related Articles | Metrics | Comments（0）

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A Classification Method of Agricultural News Text Based on BERT and Deep Active Learning SHI Yunlai, CUI Yunpeng, DU Zhigang Journal of Library and Information Science in Agriculture    2022, 34 (8): 19-29.   DOI: 10.13998/j.cnki.issn1002-1248.22-0172 Abstract （349）      PDF（pc） （2191KB）（189）       Knowledge map    Save [Purpose/Significance] At present, most of the training models used in the research of news classification are non-active learning. There are common problems about these models, including data cannot be labeled immediately and the labeling cost is too high, which also hinders the analysis of agricultural news. Especially because of the explosive growth of news data in the network era, it is more difficult to label data, train supervised text classification models, and screen relevant news in the field of agriculture from diversified online news sources. In order to solve this problem, the most commonly used pool based active learning or deep active learning technique is used to select more valuable and representative data from unlabeled data for manual labeling, and construct labeled data sets to improve the efficiency and effect of news classification and agricultural news mining. [Method/Process] The commonly used machine learning models for text classification, such as random forest classifier, polynomial naive Bayes classifier and logistic regression classifier, were combined with the active learning method with the lowest confidence to analyze the effect, and the BERT model was combined with the three sampling strategies of discriminative active learning, deep Bayes active learning and lowest confidence for deep active learning training. On the news corpus of 19 847 samples crawled and cleaned by crawler technology from Sina and other news websites, aiming at screening agricultural related news from diversified news samples of various topics, the iterative experiment of adding 30 samples per round was tested to check the improvement effect of F1 score under various method combinations with the increase of the number of annotation. In addition, the representativeness and diversity of the samples selected by the sampling function of each method in the deep active learning method of the BERT model were compared, so as to understand the characteristics of each strategy and provide inspiration for the selection and improvement of Al strategy in the future. In addition, this paper also analyzed how much labeling cost can be saved by using the proposed method. [Results/Conclusions] When comparing a variety of machine learning models, it is found that although the gradient boosting tree and support vector machine classifier have high accuracy, they are not suitable for active learning because of their low efficiency in text data processing of large-scale high-dimensional data. After combining other machine learning models and the BERT model and training text models with the corresponding active learning or deep active learning methods, it is found that the application of active learning method can significantly improve the training process of each model. Among them, the BERT model, combined with discriminative active learning sampling function, has the best news text classification effect and the lowest annotation data requirements. The representativeness and diversity of the samples selected by discriminative active learning sampling function are also the highest, which explains the source of the advantages of this method. It can also be found that for the same task model, the higher the accuracy of classification is required, and the active learning method can save more annotation cost than non-active learning. Reference | Related Articles | Metrics | Comments（0）

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Selection of Papers on the Origins of COVID-19 and Entity Annotation Based on Full Texts XU Shuo, ZHANG Mengmeng, LIU Liyuan, WANG Congcong, SUN Rui, LI Yilin, XU Jinnan, AN Xin Journal of Library and Information Science in Agriculture    2023, 35 (1): 87-98.   DOI: 10.13998/j.cnki.issn1002-1248.22-0662 Abstract （116）      PDF（pc） （1449KB）（187）       Knowledge map    Save [Purpose/Significance] Since the outbreak of COVID-19, there has been a rapid increase in the number of studies related to COVID-19 at home and abroad. Review of relevant literature on COVID-19 provides data resources for related research on the emergence and transmission mechanism of SARS-CoV-2. However, the current COVID-19 related dataset is a collection of the literature, without classifying the data for each subfield, and the coarse-grained information such as the title and author fails to provide an in-depth understanding of the progress of COVID-19 research. Therefore, this paper created a dataset for the COVID-19 sub-domain and a fine-grained entity dataset. [Method/Process] Firstly, this paper proposed a literature screening method based on active learning model, which can obtain more valuable marker samples with less labor cost, so that the classifier has better generalization performance. We considered three base classifiers: Support Vector Machine (SVM), Logistic Regression (LR), and Random Forest (RF), while considering four query strategies: uncertainty sampling, expected error reduction, committee-based query, and random sampling. Taking the origin of SARS-CoV-2, one of the sub-fields related to SARS-CoV-2, as an example, articles related to the origin of SARS-CoV-2 were efficiently and accurately located from the literature. At the same time, this paper designed a labeling scheme covering 18 types of entities, including not only genes, proteins, compounds and other entities that are universal in the biological field, but also corona viruses and wild animals that are unique to the field of SARS-CoV-2. In this paper, visual annotation tool BRAT was used for entity annotation. The tagging team consisted of an administrator and six annotators, and the entity tagging consisted of two rounds. What's more, multi-k consistency index was used to calculate the consistency score of annotation results. [Results/Conclusions] The results of the active learning model show that the uncertain sampling query strategy has the best performance. SVM, LR and RF based on uncertain sampling can correctly screen 425, 465 and 489 articles, respectively. After the removal of overlapping articles, a dataset related to the origin of SARS-CoV-2 was constructed, containing a total of 885 articles. Secondly, based on the proposed entity labeling scheme, 6 annotators completed 99 papers. Based on the results of fine marking, this paper constructed an entity dataset containing 39,118 entities, which is the largest and most comprehensive entity corpus in the field of COVID-19. Reference | Related Articles | Metrics | Comments（0）

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Future Learning Centers: A Study on Libraries' Role Reorientation, Function Reconstruction, and Practical Innovations ZHANG Jingbei, XU Yaping, ZHOU Qiong, CAI Yingchun Journal of Library and Information Science in Agriculture    2023, 35 (6): 43-50.   DOI: 10.13998/j.cnki.issn1002-1248.23-0448 Abstract （294）      PDF（pc） （958KB）（181）       Knowledge map    Save [Purpose/Significance] A future learning center (FLC), a ground-breaking novel education model crafted in response to the burgeoning demands of a rapidly digitized and intelligent society, will undeniably spearhead the new wave of intelligent construction in contemporary university libraries. As this evolution unfolds, libraries urgently need to clarify and solidify their roles in the meticulous construction of future learning centers. Doing so will promote vibrant knowledge exchange, robustly stimulate cross-disciplinary cooperation, and also guide and embolden libraries to proactively seize unprecedented development opportunities and to collaboratively face the emerging challenges ahead. [Method/Process] To comprehend the genesis and potential of the FLC, this research undertakes a meticulous examination of its foundational concepts, overarching objectives, inherent tasks, and structural framework. It delves deep into the libraries' pivotal role in nurturing these centers, especially through the lens of role delineation and functional metamorphosis. Gleaning insights from real-world examples such as the Beijing Institute of Technology Library and the Shanghai University of Finance and Economics Library, this investigation seeks to capture a snapshot of the current operational landscape, along with its associated tribulations and challenges. Through this way, the research hopes to chart a roadmap, offering invaluable reference and actionable guidance for libraries poised to embark on their journey of creating FLCs. [Results/Conclusions] The future learning center encompasses an intelligent learning environment that melds information services with learning and teaching support. Such spaces are poised to emerge as novel grassroots learning organizations underpinning evolution in learning techniques and the genesis of knowledge. Crafting these future learning centers necessitates a systematic approach, calling for collaboration from various stakeholders. Within this context, libraries serve dual roles as both initiators and active contributors. While libraries' involvement in developing future learning centers remains in nascent stages of growth, the core challenge lies in pioneering a human-centric model that harmoniously fuses space, resources, and services to offer students an enriched, tailored, and novel learning journey. As educational paradigms shift, libraries must capitalize on this momentum, drawing from their foundational expertise in intelligent library development, to resonate with the evolving criteria of talent development. Confronted with myriad challenges-ranging from role definition, conceptual alignment, and overcoming educational reform resistance to enhancing professional acumen and navigating spatial constraints-libraries are suggested to strategically assimilate educational assets, reconfigure spatial methodologies, and proffer intelligent solutions. They should aim at fostering students' proficiency in autonomous, participatory, and investigative learning through diverse resources. In essence, libraries should evolve into hubs for information services, focal points for student learning, and pillars for teaching assistance. Reference | Related Articles | Metrics | Comments（0）

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ChatGPT and the Its Impact on the Development Trends of the Library Field ZHANG Jianing, SONG Xigui Journal of Library and Information Science in Agriculture    2023, 35 (8): 19-29.   DOI: 10.13998/j.cnki.issn1002-1248.23-0637 Abstract （118）      PDF（pc） （1075KB）（176）       Knowledge map    Save [Purpose/Significance] ChatGPT, an artificial intelligence chat robot based on transformer neural network that was developed by OpenAI, has now leveled up to GPT-4 and GPT-4 Turbo. solves the problem of peer-to-peer response in human-computer interaction with its powerful natural language processing ability. Its abilities of information retrieval, language organization, logical reasoning and text induction meet the needs of library users, which makes the transition from a traditional library to a smart library with a return to knowledge service possible. The paper focuses on the development trends in the library field in the era of artificial general intelligence. [Method/Process] Based on the background of the library development in the computer age, the paper reveals the dilemma of library knowledge service through retrospective and comparative methods, pointing out the endogenous growth value of ChatGPT's high-quality analysis, demonstration and generation ability with multi-modal and full-scene deep interaction for smart library services. Library service presents a new mirror image from the perspective of ChatGPT: intelligent retrieval covers all traditional service, while the focus of information consultation, subject service and reading promotion shifts and the service margin becomes blurred. Information consultation retains the necessary share of traditional consultation, and becomes professional and focused; subject service moves forward to the frontier of all-disciplinary field; reading promotion realizes the accurate docking between the collection and the target population. The potential risks and challenges posed by ChatGPT include copyright risk and secondary institutional copyright risk with plagiarism, simulated viewpoint and the exposure of data. This urges the society to regulate the development behavior of technology companies through legislation, and requires third-party supervision and local area networks to ensure security. [Results/Conclusions] On the basis of saving human resources and management costs, ChatGPT accelerates the optimization of traditional library services, improving service quality and efficiency. It may facilitate the transfer and reorganization of traditional library services, but this does not necessarily lead to the end of the library industry. On the contrary, it makes possible for the library industry to return to the knowledge service with the blessing of new technologies. It is inevitable to consolidate divisions, streamline personnel and rebuild teams, but the process may not be perceptible or even dramatic. The service standards and evaluation system of the library industry change from borrowing and returning books, click rate and pageview to the depth and efficiency of teaching and scientific research participation. Knowledge service becomes clear and conscious. The threat of digital books and electronic reading has been greatly reduced, making it easier for the library industry to confirm its position in the social and historical development. Reference | Related Articles | Metrics | Comments（0）

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Policies, Resources and Services of Global Alliance of Open Access Scholarly Communication Platforms WAN Yijia, KU liping Journal of Library and Information Science in Agriculture    2022, 34 (6): 24-35.   DOI: 10.13998/j.cnki.issn1002-1248.22-0271 Abstract （299）      PDF（pc） （1400KB）（175）       Knowledge map    Save [Purpose/Significance] With the continuous development of the open access (OA) movement, bibliodiversity is being analyzed and discussed within the framework of global open science strategy. In an inclusive knowledge society, information and knowledge resources should be readily available, interpreted and utilized in appropriate languages and formats. Established in 2019, the Global Alliance of Open Access Scholarly Communication Platforms (GLOALL) mainly includes six national journal publishing platforms, whose establishment and promotion will become a form of bibliodiversity and open access movement. The policies, resources and services of GLOALL's platforms reflect the emphasis on diversity in regions, languages, and academic evaluations, and are conducive to the collision and compatibility of multiple cultures and ideas emphasized by bibliodiversity. [Method/Process] Based on the theory of bibliodiversity research and combined with current OA practice, this paper mainly explains, compares and analyzes the policies, resources and services of GLOALL platforms. The concept of bibliodiversity was first proposed by Chilean publishers, during the creation of the "Editores independientes de Chile" collective in the late 1990s. Besides, "the International Declaration of Independent Publishers 2014" defined it as "cultural diversity applied to the world of books", that is, the critical diversity of products (books, scripts, eBooks, apps and oral literature) made available to readers. Re-examining the OA movement shows that OA under different paths should develop together and complement each other when necessary, rather than just encouraging and promoting one mode. [Results/Conclusions] The GLOALL platforms have similarities in strategic goals and construction principles, like promoting local scientific research, global OA and bibliodiversity. However, since each platform is not systematically constructed in a standardized way and is aimed at different countries or regions, there are differences in specific aspects such as policy formulation, resource construction and service operation. For this reason, these platforms are designed according to the actual situation and publishing needs of their respective countries, and form synergy through alliances to balance the global OA publishing pressure from some international publishing groups. In essence, this publishing market emphasis on the inclusiveness of global OA. The construction experience of GLOALL has certain reference significance for China to promote OA and build high-end academic exchange platforms. On the one hand, the GLOALL members are all national OA publishing platforms, promoting the OA movement through international cooperation to find a balance between unity and diversity, and between international development and local development. They have a positive effect on forming an academic exchange ecology that can not only develop bibliodiversity, but also support international academic research. More importantly, building platforms is a means, while exerting international influence is the goal. At present, green OA has the alliances such as COAR. While as for golden OA, in addition to transforming academic journals into OA, uniting the world's national open publishing platforms is another way. Therefore, research on GLOALL in terms of policies, resources, service can help China better grasp the opportunities in the OA movement, fill the gaps in the current service mechanism, and explore more suitable OA modes. Reference | Related Articles | Metrics | Comments（0）

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Influencing Factors of User Participation Behavior in Online Health Community under the Dimension of Emotional Experience ZHU Yiping, ZHU Yi, ZHANG Cheng Journal of Library and Information Science in Agriculture    2022, 34 (10): 15-18.   DOI: 10.13998/j.cnki.issn1002-1248.22-0680 Abstract （170）      PDF（pc） （1376KB）（173）       Knowledge map    Save [Purpose/Significance] Emotional experience is a purely subjective feeling of the interaction between users and products. Exploring user participation behavior and influencing factors in online health communities under the influence of user emotional experience has obvious significance for retaining users. [Method/Process] A total of 25 users of the online health platform were selected as the research objects. The semi-structured interview method was used, and the basic information of the interviewees was combined with the questionnaire. With the help of grounded theory, the original interview data were coded, and the factors influencing user participation in online health communities were analyzed. Then, the emotional experience and feedback mechanism model of user participation in online health communities was constructed by combining the "emotion-cognitive recursive model". Finally, effective cases were screened from the questionnaire, and the configuration of the influencing factors of user participation behavior and affective feedback was explored based on the principle of qualitative comparative analysis and calculation of fuzzy sets. [Results/Conclusions] Through the grounded theory coding, six factors affecting user participation behavior are obtained: risk perception, platform cognition, demand motivation, platform experience, user emotion and environment. Then combined with the cognitive-affective model, the seven main categories derived from the rooted coding were divided into three dimensions: cognitive assessment, affective experience and participatory behavior. The feedback mechanism of emotional experience after participating behavior is further studied. It is found that the cognitive evaluation including risk perception, platform cognition and demand motivation affects the emotional experience of users, thus affecting their actual participation behavior. In the process of user participation in online health community, the factors of cognitive assessment, emotional experience and participation behavior interact with each other, and have a two-way effect on user participation behavior and user cognitive assessment. Further verification by fuzzy set qualitative comparative analysis (fsQCA) shows that among the six factors affecting user participation behavior, platform experience and demand motivation are the core conditions affecting user participation in online health community, and the three single factor variables of user emotion, environment and platform cognition do not necessarily affect the generation of user participation behavior. The extraction of influencing factors and the definition of user behavior are not comprehensive, and some real variables and key engagement behaviors may be overlooked. In addition, there is an imbalance in the number of samples on each platform. Follow-up related research can improve the pertinence of the platform and expand the sample capacity. Reference | Related Articles | Metrics | Comments（0）

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Influencing Factors of Elderly Users' Health Information Adoption Behavior Based on Social Platforms: Taking WeChat as an Example XING Fei, LIU Caihua, CHAI Xuefei, PENG Guochao Journal of Library and Information Science in Agriculture    2022, 34 (7): 53-64.   DOI: 10.13998/j.cnki.issn1002-1248.22-0403 Abstract （262）      PDF（pc） （1396KB）（164）       Knowledge map    Save [Purpose/Significance] Based on the social background of population aging, studies on health literacy and health information behavior of the elderly have become an important issue as China enters an aging society and information society. This paper aims to explore the influencing factors of health information adoption behavior of elderly users on social platforms, so as to provide reference for social platform managers to screen health information and optimize health information service for the elderly. [Method/Process] This study followed an inductive qualitative approach. The case study methodology was adopted. To be specific, the WeChat platform was selected as one of the typical social platforms, and a semi-structured interview with 27 WeChat users was used for data collection. After collecting the qualitative interview data, the thematic analysis was carried out, which contains six steps, namely (1) becoming familiar with the data, (2) coding the data, (3) connecting codes and identifying themes, (4) reviewing themes, (5) developing concept maps, and (6) writing a report. Following the steps, all identified codes were distributed into 11 sub-themes and regrouped into 4 main themes. [Results/Conclusions] The results showed that factors of individual, informational, technical, and environmental are the key factors that affect the health information adoption behavior of elderly users when they are using WeChat platforms. Moreover, the influencing factor model of elderly users' health information adoption based on social platform was developed and the mechanism between various factors and adoption behavior is deeply discussed. Further analysis of the interview data indicated that living environment and technical support are external factors while information quality and individual characteristics are internal factors. In addition, in order to promote the development of social platforms and improve their health information service capabilities, this paper puts forward relevant suggestions from the two dimensions of social platform developers and users perspective. In particular, the social platform development team should fully identify elderly needs and habits of using the health information and the health information they need, which is helpful to providing elderly with comprehensive and targeted information services. The elderly needs to improve their health literacy and their ability to deal with health information, so as to adapt to the Internet era. Finally, due to the limited interviewee number, this paper only takes 27 elderly users and WeChat as an example. In the future work, more social platforms can be explored and horizontal comparative studies can be carried out. Reference | Related Articles | Metrics | Comments（0）

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Application and Development of Ethnography in Library and Information Science Research JIA Shiwei, YAN Hui Journal of Library and Information Science in Agriculture    2023, 35 (6): 4-15.   DOI: 10.13998/j.cnki.issn1002-1248.23-0449 Abstract （89）      PDF（pc） （1410KB）（162）       Knowledge map    Save [Purpose/Significance] Ethnography is a rigorous field of study that is favored by researchers in the field of library and information science (LIS) due to its ability to obtain valuable first-hand data. Some LIS scholars have recognized the significance of using ethnography as a research method, and it is necessary to review the application and development of ethnography in LIS research. [Method/Process] This paper collected data from CNKI and Web of Science Core Collection. By searching and screening data, a total of 69 empirical research articles (written in both Chinese and English) that utilized ethnography as a methodology in LIS field were identified. Subsequently, this paper used content analysis to systematically review the application scenarios, methodological expansions, application paths, and misuses of ethnography in LIS research. [Results/Conclusions] Ethnography can be applied to various application scenarios in LIS research. It is commonly used to address research questions in six research topics: information behavior, library construction and development, information society issues, knowledge management, information literacy, and fundamental theories and discipline construction. The research subjects encompass a broader range of information and data users. For example, information service designers and providers in libraries, intelligence agencies, information and data centers, Internet companies, government agencies, as well as socially marginalized and information-poor groups are all potential subjects that ethnography can describe. Most research typically involves fieldwork lasting six months or more. Both interview and participant observation are not only the most commonly used independent investigative methods in ethnographic research but also frequently employed in combination as a mixed-method approach. With the application and development of ethnographic approaches, new ethnographic types suitable for different contexts and paradigms have emerged, including autoethnography, netnography, visual ethnography, and institutional ethnography. Among them, autoethnography emphasizes reflexivity, netnography is suitable for new fields based on the network, visual ethnography responds to the demand for sensory-oriented research, and institutional ethnography focuses on addressing inequalities faced by marginalized groups. Autoethnography and netnography have become new types of ethnography that LIS scholars prefer to adopt. In specific applications, different research topics tend to use different types of ethnography. This paper not only reviews the application trends of new ethnographic types in difference research topics but also compares the differences between new types of ethnography and traditional ethnography in the practical applications. The aim is to provide application paths for applying ethnography to different research topics. Additionally, this paper also points out the misuses of ethnography in terminology usage, investigation duration, and data authenticity, aiming to enhance the understanding of ethnographic methodology by relevant scholars and promote the application and development of ethnography in LIS research. Reference | Related Articles | Metrics | Comments（0）

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Advances of Olfactory Design and Its Applications in Library Studies YU Yingying, SU Wencheng, WU Junru Journal of Library and Information Science in Agriculture    2022, 34 (12): 45-54.   DOI: 10.13998/j.cnki.issn1002-1248.22-0804 Abstract （172）      PDF（pc） （995KB）（160）       Knowledge map    Save [Purpose/Significance] The olfactory experience can influence human emotion and cognition. Space olfactory design enhances our overall activity experience and satisfaction with the whole space environment by awakening our positive emotional feelings and promoting the positive nature of behavioral activities. It provides reference and inspiration for the application of spatial olfactory design in public cultural service institutions such as libraries. Therefore, the utility of the olfactory experience for users can be applied to library architectural spaces, so as to increase the loyalty of library users. [Method/Process] This paper used literature research and content analysis method to collect, screen, organize and analyze the related literature on space olfactory design at home and abroad, to review the domestic and international research on the role of space olfactory, and to summarize the research progress and application trends of space olfactory design at home and abroad. The practical application of space olfactory design and the utility of space olfactory experience were analyzed, including the role of space odor design on emotional arousal, memory utility of space-related events and on other sensory behavioral efficiency enhancement, behavioral performance improvement and learning memory capacity improvement. [Results/Conclusions] The study found that international research scenarios on the design of space olfactory were focused mainly on the olfactory experience in special contexts such as learning scenarios and commercial shopping scenarios. In contrast, domestic research on space olfactory design is still at the stage of theoretical exploration, and the empirical research is yet to be explored. Scent marketing in commercial field provides theoretical and practical guidance for library space scent environment design. In addition, in order to create future learning centers based on the perspective of the user's olfactory experience, public libraries need to pay more attention to the consistency of scent with the library's reading space, learning center and cultural and leisure center and other space services, and the mechanism of the influence of the space scent on the subjective emotional feelings of library users and their reading experience, learning behavior and recreational and leisure activities in the libraries. The olfactory sensitivity and olfactory preference of library user groups and librarian groups are the issues that must be considered to realize the olfactory design of library space and are the prerequisites for building a human-oriented library. In addition, based on the spatial activity needs of university libraries, our study can be used as a pilot for library space olfactory design. Reference | Related Articles | Metrics | Comments（0）

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Analysis of AIGC Language Models and Application Scenarios in University Libraries FU Rongxin, YANG Xiaohua Journal of Library and Information Science in Agriculture    2023, 35 (7): 27-38.   DOI: 10.13998/j.cnki.issn1002-1248.23-0406 Abstract （151）      PDF（pc） （7913KB）（154）       Knowledge map    Save [Purpose/Significance] Artificial intelligence generated content (AIGC)'s content creation method has brought about a new revolution to the field of library and information science (LIS). Currently, the related research is mainly based on AIGC and ChatGPT, while ERNIE bot and Bard are less studied. Comparative analysis of the advantages and disadvantages of the AIGC large language models, discussion of the operating mechanism of AIGC, and in-depth research on application solutions in the context of university libraries provide new ideas for AIGC applications in smart libraries. [Method/Process] Taking the three AIGC applications of ChatGPT, ERNIE bot and Bard as examples, starting from the Transformer model, and on the basis of in-depth analysis of the basic principles of the large language model, the comparative analysis method is used to conduct a horizontal comparison of these three applications. The research summarizes the six common features of AIGC's large language model, and points out that it can be used in improving the work efficiency of university libraries. This paper explains and identifies nine different characteristics of the AIGC large language model, and points out how to choose three applications in university libraries. According to the characteristics of each application, six scenarios-based application modes of university libraries and the advantages of AIGC applications in university libraries are pointed out. A discussion is provided on four potential risks that may be faced by libraries in using AIGC large language models, and solutions are proposed to reduce risks, providing a reference for university libraries to choose AIGC applications. [Results/Conclusions] ChatGPT focuses on natural language understanding and content generation, and has more advantages in the ability of natural language understanding, task applicability and cross-language transfer, and is more suitable for resource integration and decision-making assistance in the context of knowledge services, subject services and administrative management. ERNIE bot has hundreds of billions of super-training parameters, and it can generate multi-modal content including text, pictures and voices. It has more advantages in learning training, model expansion and Chinese comprehension, and is more suitable for optimizing services and assisting creation in the context of reader services, technical services and cultural services in university libraries. By comparison, Bard focuses on human-machine dialogue data processing, it can use natural language to communicate with people, and it is more suitable for providing 24-hour intelligent customer service, assisting subject consultation and knowledge Q&A in the context of reference consultation in university libraries. With the application of AIGC, although university libraries will face ethical risks, privacy risks, data security, and the proliferation of false knowledge, as long as artificial intelligence data governance is strengthened, in the future, university libraries will integrate the natural language understanding and generation capabilities of AIGC large language models that can expand diversified application scenarios, innovate multi-dimensional service models, optimize the business service environment, assist administrative decision-making, and improve the level of intelligent services. Reference | Related Articles | Metrics | Comments（0）