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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
    Abstract2404)      PDF(pc) (1128KB)(4186)       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.
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    How to Use the Function of Personal Literature Management in Google Scholar
    LIN Rui
    Journal of library and information science in agriculture    2014, 26 (8): 46-48.   DOI: 10.13998/j.cnki.issn1002-1248.2014.8.011
    Abstract1705)      PDF(pc) (3958KB)(4134)       Save
    Google Scholar is a kind of important information retrieval tool. With the improvement of Google Scholar, it also provides the function of personal literature management in recent months. Combined with its powerful literature searching function, it should be the most convenient tool for users in personal literature management. The authors detail the use of this useful tool and give reminders for its users.
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    Comparison of Visualization Principles between Citespace and VOSviewer
    FU Jian, DING Jingda
    Journal of library and information science in agriculture    2019, 31 (10): 31-37.   DOI: 10.13998/j.cnki.issn1002-1248.2019.10.19-0776
    Abstract6568)      PDF(pc) (1577KB)(3800)       Save
    With the rapid development of social informatization and the arrival of the era of big data, scientific
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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
    Abstract1047)      PDF(pc) (2499KB)(2236)       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.
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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
    Abstract614)      PDF(pc) (1283KB)(1820)       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.
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    Twenty Years of Left-Behind Children Education in Rural China: Based on Structural Topic Model
    WANG Xing, LI Yeye, ZHOU Tianyu, LIU Feng
    Journal of library and information science in agriculture    2023, 35 (9): 43-56.   DOI: 10.13998/j.cnki.issn1002-1248.23-0691
    Abstract372)      PDF(pc) (3126KB)(1722)       Save
    [Purpose/Significance] The introduction of national poverty alleviation policies and rural revitalization strategies has thrust the issue of education for left-behind children into the spotlight of scholarly attention. Education, far beyond serving as a mere instrument for personal growth and human capital accumulation for left-behind children, emerges as a pivotal measure in consolidating rural poverty alleviation endeavors and breaking the transmission of intergenerational poverty in China. It stands as a vital force propelling the future of rural revitalization. Yet, the existing literature on the education of left-behind children remains sporadic and dispersed. A more profound organizational effort, integrating, synthesizing, and evaluating this scattered literature, is imperative to establish a foundational framework for future research, fostering more cohesive and focused research endeavors. Presently, literature review studies primarily fall into three categories: qualitative review methods, meta-analysis, and bibliometric analysis methods employing tools like Citespace. This study sets out to achieve a systematic and comprehensive understanding of education-related issues for rural left-behind children through text mining methods grounded in topic models. [Method/Process] The advent of artificial intelligence and machine learning technologies has empowered the processing and analysis of vast amounts of textual data. Previous research, employing latent dirichlet allocation (LDA) topic models, successfully mined texts related to teacher team construction reform policies, internationalization in higher education literature, news reports, and online comments. In this study, a corpus was meticulously constructed using abstract texts extracted from 2037 journal articles published between 2002 and 2023. The structural topic model (STM) was chosen for topic modeling, overcoming the limitations associated with LDA, with a specific emphasis on exploring the diversity and dynamism of topics within the existing literature. [Results/Conclusions] The culmination of this research effort identified eight distinct research themes: psychological well-being, factors leading to left-behind children, macro-level coping strategies, types of guardianship, review studies, family education, media literacy, and micro-level coping strategies. By synergizing document metadata information, the study systematically unraveled the evolving trends of these topics over time, providing crucial insights into potential shifts in the focus of left-behind children's education research. It is essential to note that this study, while collecting abstracts instead of full texts, may not capture the entirety of information contained in complete research articles. Future research endeavors should explore left-behind children's education more comprehensively, leveraging full-text mining techniques for a more nuanced understanding of this critical subject.
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    Discussion on the Selection of First and Reprint Authors' Core Papers Collected by Web of ScienceTM
    SHI Xiaohua, CHEN Shou
    Journal of library and information science in agriculture    2018, 30 (11): 90-93.   DOI: 10.13998/j.cnki.issn1002-1248.2018.11.015
    Abstract1516)      PDF(pc) (1598KB)(1543)       Save
    Based on the dominant function of Excel and NoteExpress, this paper introduced the methods of selecting first authors and reprint authors' core papers belonged to Guangdong Medical University and collected by Web of ScienceTM, so as to help university librarians and administrators for the statistics, statistical analysis and management of papers.
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    Design and Implementation of Library Seat Online Reservation System——Taking China Pharmaceutical University Library as an Example
    WANG Xiaoliang, HU Jun, WANG Wei, LIN Ting
    Journal of library and information science in agriculture    2014, 26 (5): 36-39.   DOI: 10.13998/j.cnki.issn1002-1248.2014.5.009
    Abstract1310)      PDF(pc) (4636KB)(1515)       Save
    According to current situation of China Pharmaceutical University (CPU) library, this paper explains the need to built up a seat online reservation system based on current seat management system, and describes in detail the design, implementation, application effect of CPU library seat online reservation system. It turns out that online system can increase utilization percent of seat resource and management ability to a great extent.
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    Search Engine and Network Information Retrieval Techniques
    YAN Hong-bing
    Journal of library and information science in agriculture    2016, 28 (8): 164-167.   DOI: 10.13998/j.cnki.issn1002-1248.2016.08.039
    Abstract1017)      PDF(pc) (1043KB)(1508)       Save
    Through the analysis on the operational principle, classification and characteristics of search engine, this paper summarized the network information retrieval techniques via search engine, so as to provide reference for people to retrieve network information fast and accurately.
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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
    Abstract627)      PDF(pc) (1018KB)(1479)       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.
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    Building an Artificial Intelligence Engine Based on Scientific and Technological Literature Knowledge
    ZHANG Zhixiong, LIU Huan, YU Gaihong
    Journal of library and information science in agriculture    2021, 33 (1): 17-31.   DOI: 10.13998/j.cnki.issn1002-1248.20-0797
    Abstract847)      PDF(pc) (3230KB)(1428)       Save
    [Purpose/Significance] How to use the knowledge in the scientific and technological literature to train and improve the model of deep learning algorithm, and acquire knowledge and discover knowledge is an important subject of information research. In order to fully mine and utilize the value of literature knowledge, this paper proposes the goal of building an artificial intelligence (AI) engine based on scientific and technological literature knowledge. [Method/Process] It chooses the literature and information science work as the starting point and takes the scientific and technological literature as the most important carrier of human knowledge. This paper explores the essence of the rapid breakthrough of AI, and innovatively puts forward the construction idea of "science and technology knowledge engine" which is the transformation from "science and technology literature library" in the field of information science. [Results/Conclusions] This paper discusses the construction practice of AI engine based on scientific and technological literature knowledge and explores the method of using the deep learning technology to excavate knowledge to serve information research, so as to provide reference for peers.
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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
    Abstract760)      PDF(pc) (941KB)(1391)       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.
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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
    Abstract583)      PDF(pc) (958KB)(1381)       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.
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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
    Abstract516)      PDF(pc) (958KB)(1358)       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.
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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
    Abstract438)      PDF(pc) (1123KB)(1344)       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.
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    Research on the Influence of Expected Confirmations on the Willingness of Continuous Use of Online Knowledge Q&A Community under the Framework of ECM-ISC
    CHEN Yijin, CHEN Xijian, GU Tinghua
    Journal of library and information science in agriculture    2019, 31 (9): 37-50.   DOI: 10.13998/j.cnki.issn1002-1248.2019.09.19-0656
    Abstract1912)      PDF(pc) (2909KB)(1344)       Save
    [Purpose/significance] Factors influencing users' willingness of continuous use of online knowledge Q&A community was studied, deeply into the essence of users' acceptance and continuous use of technology innovation, to deepen users' behavior theory of continuous use, and to promote the development of knowledge Q&A community and user demand theory.[Method/process] Based on the expectation-confirmation theory model (ECM-ISC) and the relationship maintenance binary theory, this study constructed a model and measurement scale for the continuous use of users in the online knowledge Q&A community. A total of 358 valid sample data were collected and the structural equation model was used for hypothesis testing.[Result/conclusion] The results show that the user's expected confirmation is composed of five dimensions: information, social, emotional, entertainment and social identity expectation, and all five kinds of confirmation can positively and significantly affect the user's satisfaction and perceived usefulness. Satisfaction and perceived usefulness have positive effects on users' willingness to continue using; User perceived switching cost, user habits and self-efficacy positively affect willingness to continue using; Self-efficacy positively affects the degree of social identity confirmation.
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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
    Abstract754)      PDF(pc) (1562KB)(1330)       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.
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    A Comparative Study of Patentics Patent Intelligent Retrieval System and State Intellectual Property Office of the P.R.C
    PANG Desheng, WANG Fang, LIU Ruijuan
    Journal of library and information science in agriculture    2014, 26 (5): 46-49.   DOI: 10.13998/j.cnki.issn1002-1248.2014.5.012
    Abstract923)      PDF(pc) (1278KB)(1324)       Save
    This paper introduces the patent retrieval of Patentics patent intelligent retrieval system and State Intellectual Property Office of the P.R.C,and then carries on the comprehensive and comparison of two data-base
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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
    Abstract755)      PDF(pc) (1248KB)(1265)       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.
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    Digital Humanities & Large Language Models: Practice and Research in Semantic Retrieval of Ancient Documents
    Haoxian WANG, Ziming ZHOU, Feifei DING, Chengfu WEI
    Journal of library and information science in agriculture    2024, 36 (9): 89-101.   DOI: 10.13998/j.cnki.issn1002-1248.24-0615
    Abstract196)   HTML27)    PDF(pc) (971KB)(1221)       Save

    [Purpose/Significance] Against the backdrop of the increasing popularity of artificial intelligence technology, particularly large language models, this paper aims to explore their applications in the field of digital humanities, with a particular focus on the retrieval of ancient documents. Through the practice and exploration of the ancient document retrieval platform at Peking University Library, this study not only introduces new perspectives and methods to the field of digital humanities, but also promotes academic research and cultural heritage. It also provides practical references for other university libraries, which is an important guide. [Method/Process] The article begins with an overview of the origins and development of the digital humanities, emphasizing its central role in humanities research. The paper then examines the current state of the arts in large language models and analyzes their potential and advantages for identifying and classifying ancient documents, semantic understanding and parsing, and information extraction and association. Through the analysis of practical case studies, this paper constructs a fundamental semantic retrieval model, the core architecture of which consists of two critical components. First, the construction phase of the retrieval engine involves meticulous pre-processing of the ancient document information to generate basic metadata. Using large-scale models, these metadata are subjected to in-depth processing and enhancement to create auxiliary search fields and enriched text. In addition, the text processed by the model and the original text are transformed into semantic vectors, which are then stored in an efficient vector engine for rapid retrieval. Second, the search and sort component is another core part of the model. This part accurately processes the user's search terms through large models to generate extended content and, in conjunction with the search terms, creates accurate semantic vectors. Utilizing the previously constructed vector engine, the model can efficiently retrieve relevant documents and intelligently sort the search results based on specific algorithms, ensuring that users can quickly obtain the most relevant and valuable information. Taking the ancient document system collection data of Peking University Library as the research object, the paper processes over 250,000 records, primarily consisting of ancient books and rubbings, as well as over 10 million metadata items. Using the gradio framework on a server equipped with two NVIDIA RTX 4090 24G graphics cards, a semantic retrieval platform was created to effectively manage and retrieve these vast amounts of data. [Results/Conclusions] The main strengths and contributions of the study lie in the standardized metadata organization, the metadata extension supported by large models, the support for natural language search terms, the fault-tolerant search mechanisms, and the efficient retrieval capabilities of the vector engine. However, there are shortcomings, such as the accuracy of results generated by large models and insufficient comprehensive analysis of user search data. Future efforts will be devoted to improving these issues to increase the effectiveness of the research.

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    Building an Scientific and Technological Talent Database for New Quality Productive Forces
    LI Mengli, WANG Ying, QIAN Li, XIE Jing, CHANG Zhijun, JIA Haiqing
    Journal of library and information science in agriculture    2024, 36 (2): 15-25.   DOI: 10.13998/j.cnki.issn1002-1248.24-0175
    Abstract654)      PDF(pc) (4077KB)(1212)       Save
    [Purpose/Significance] Talent data have become the most important production factor and strategic resource. Building a scientific and technological (S&T) talent database has become an inevitable way to narrow the digital divide and accelerate the digital and intelligent transformation of talent work. Therefore, this study builds an S&T talent database to promote scientific decision-making for talent development, precision in attracting new quality technical talent, reform in evaluating S&T talents, and building talent system for new quality productive forces. [Method/Process] By analyzing the practical requirements and significance of building an S&T talent database, this study first explores and analyzes the intrinsic logic of promoting the development of new quality productive forces through an S&T talent database. It then summarizes the challenges facing the current construction of a S&T talent database, including the scattering and concealment of S&T talent data, the lack of policies and standardized systems for S&T talent data, the inadequate exploration of value-added S&T talent data, the need to expand the application of digital technology in talent work, and the security risks of S&T talent data. In response to these challenges, this paper finally proposes the idea of building an S&T talents database, and introduces the research exploration and application practice on it, including the construction of big data database for S&T talent aimed at the development of new quality productive forces, the development of AI-powered talent data computing engine, research into the system for profiling new quality technical talent, the analysis of talent growth paths for the training of new quality technical talent, the identification method of new quality talented professionals based on big data, the development of an efficient digital platform for talent management, and the development of a strategic analysis platform for technical talent. [Results/Conclusions] The construction of S&T talent database is an objective requirement for the development of the digital era and an inevitable requirement for the formation of new quality productive forces. Building big data for S&T talent, empowering talent workflow with big data and artificial intelligence technology can help empower talent workflow, release the enormous energy contained in digitalization, effectively activate the internal momentum of talented professionals, institutions, society, and government, and then continuously improve the efficiency of talent resource allocation, the operational efficiency of talent work, the overall effectiveness of talent development governance, and promote the development of new quality productive forces.
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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
    Abstract803)      PDF(pc) (973KB)(1198)       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.
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    Artificial Intelligence Empowers Library and Information Service ——Review of Forums about Information Technology for Library 2019
    LYU Lucheng, HAN Tao
    Journal of library and information science in agriculture    2020, 32 (5): 13-18.   DOI: 10.13998/j.cnki.issn1002-1248.2019.10.17-0912
    Abstract1111)      PDF(pc) (2417KB)(1194)       Save
    [Purpose / Significance] the conference of Forums about Information Technology for Library (IT4L) held in Shanghai Library on August 12-13, 2019 with the theme of "Artificial Intelligence Empowers Library and Information Service". library and information service practitioners and relevant researchers. [Method / Process] The conference was reviewed based on the classification and summarization of expert reports. [Results / Conclusions] The conference covered the following three topics: AI reconstructing knowledge service infrastructure, the methods and means of AI enriching knowledge service and AI upgrading the service forms of knowledge service.
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    Journal of library and information science in agriculture    2023, 35 (9): 100-101.  
    Abstract292)      PDF(pc) (787KB)(1189)       Save
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    Research on the Resources Construction of Joint Information Systems Committee
    MIAO Qi
    Journal of library and information science in agriculture    2018, 30 (3): 18-22.   DOI: 10.13998/j.cnki.issn1002-1248.2018.03.003
    Abstract2493)      PDF(pc) (1173KB)(1177)       Save
    The Joint Information Systems Committee (JISC) is a "non-government public institution" that supports UK teaching, research and management from the national level to the UK's higher education and skills sector as a unique educational information for the UK To promote the organization, in the world it also won a great reputation. This article describes in detail the general situation of JISC, the content and way of resource construction, and finally put forward the inspiration.
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    Considerations for the Development of Agricultural Informatization Driven by a New Generation of Information Technologies
    SUN Tan, HUANG Yongwen, XIAN Guojian, CUI Yunpeng, LIU Juan
    Journal of library and information science in agriculture    2021, 33 (3): 4-15.   DOI: 10.13998/j.cnki.issn1002-1248.20-0809
    Abstract688)      PDF(pc) (1771KB)(1174)       Save
    [Purpose/Significance] At present, the world is in an information age, and the development of agricultural information has become an important development direction of modern agriculture. Therefore, it is necessary to explore how a new generation of information technologies promotes the development of agricultural informatization. [Method/Process] This paper summarizes the current situation of the applications of the new generation of information technologies in the agricultural field, analyzes the path of the technologies to promote the development of agricultural informatization, and puts forward the strategy of the innovation and integrated applications of the technologies. [Results/Conclusions] The paper proposes to supplement the shortcomings of agricultural informatization and modernization through the innovation of a new generation of information technologies, helps the "village revitalization strategy", and realizes and accelerates the "synchronization of the four modernizations and integrated development". Promoting the applications of information technologies in agriculture must rely on technological innovation, model innovation, mechanism innovation and policy innovation.
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    Toward Big Data Knowledge Services:Innovation of the Library Service Models in the Era of Big Data
    HU Lian-xiang
    Journal of library and information science in agriculture    2014, 26 (2): 173-177.   DOI: 10.13998/j.cnki.issn1002-1248.2014.2.043
    Abstract1003)      PDF(pc) (1473KB)(1142)       Save
    It is the innovation direction of library service model from the knowledge service towards big data knowledge service in the era of big data. Big data knowledge service is the knowledge service mode with facing the huge amounts of data processing, smart library and the next-generation library. It is the basic path to realize big data knowledge service, such as promoting big data applications rationally, strengthening the library humanistic care, maintaining and developing the library system, cultivating smart librarians and constructing library knowledge service platform based on big data.
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    Optimization and Practice of Book Oriented Recommendation Model
    CHEN Lidong, GONG Jintao, YiNG Xianjun
    Journal of library and information science in agriculture    2019, 31 (8): 54-62.   DOI: 10.13998/j.cnki.issn1002-1248.2019.08.19-0599
    Abstract798)      PDF(pc) (3328KB)(1097)       Save
    Through the research and improvement of several common recommendation algorithm, and combined with the computer database technology, the paper wants to construct the books directional push mode. While the reader is browsing web pages or querying library resources in the library, he'll receive personalized book recommendation from library. This research newly makes up for the deficiency of the existing book recommendation mode, and improves the achievement ratio of the book recommendation.
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    A New Academic Weapon after Google School —Baidu Scholar
    XIE Qi, GUAN Jing, YANG Cuo
    Journal of library and information science in agriculture    2015, 27 (6): 110-114.   DOI: 10.13998/j.cnki.issn1002-1248.2015.06.028
    Abstract1119)      PDF(pc) (1112KB)(1097)       Save
    Baidu company launched a new scholarship search service - Baidu Scholar. This paper describes its function, retrieval method, retrieval skills in detail, and pointed out the advantages and disadvantages of the existing, then proposed some suggestions for improvement.
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    Review on Paper Novelty Measurement
    CHAI Jiaqi, CHEN Shiji
    Journal of library and information science in agriculture    2020, 32 (10): 56-61.   DOI: 10.13998/j.cnki.issn1002-1248.2020.10.20-0153
    Abstract564)      PDF(pc) (1150KB)(1094)       Save
    [Purpose/Significance] This paper clarifies the concept of novelty, reviews different novelty measurements, and summarizes different types and research progress of novelty detection at home and abroad. It is of great significance to the development of science and scientific technological planning. [Method/Process] By summarizing existing relevant Chinese and English literature, this paper reviews the definitions of novelty, different novelty measurements such as content analysis and citation analysis, as well as their evaluation methods. [Result/Conclusion] Most of the existing methods measure the novelty from a single perspective, and few used combined methods. Therefore, both qualitative and quantitative methods should be taken into consideration to form a comprehensive analysis in the future.
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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
    Abstract406)      PDF(pc) (1376KB)(1074)       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.
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    The Intelligent Diagnosis Model of Fruit Tree Disease Based on ResNet-50
    JIN Ying, YE Sa, LI Honglei
    Journal of library and information science in agriculture    2021, 33 (4): 58-67.   DOI: 10.13998/j.cnki.issn1002-1248.20-0670
    Abstract481)      PDF(pc) (1675KB)(1073)       Save
    [Purpose/Significance] Fruit tree diseases endanger the safety of agricultural production, and the use of artificial intelligence technologies to help fruit growers identify fruit tree diseases in a timely and accurate manner is of great significance to ensure safe agricultural production. [Method/Process] Using 10 000 fruit tree leaf diseased spots image data sets, through image enhancement methods such as rotation, pollution, noise enhancement, and cutting to improve the diversity of sample images; using the ResNet-50 deep convolutional network model to perform machine learning to obtain the fruit tree diseases identification model, and develop application software based on this model to provide online diagnostic services. [Results/Conclusions] The experimental results show that the average recognition rate of the four fruit tree diseases reached 92.9%, which has a better diagnostic effect compared with related research results.
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    The Road to Digital Talent Power: Action Plan for Enhancing Digital Literacy and Skills of the People and College Students' Digital Literacy Education Strategy
    XIAO Peng, ZHAO Qingxiang
    Journal of library and information science in agriculture    2021, 33 (12): 6-15.   DOI: 10.13998/j.cnki.issn1002-1248.21-0973
    Abstract965)      PDF(pc) (1057KB)(1072)       Save
    [Purpose/Significance] Improving college students' digital literacy is of great significance to building a digital talent power. [Method/Process] By combing the relevant policies before and after the release of Action Plan for Enhancing Digital Literacy and Skills of the People, this paper analyzes the main contents of the Action Plan and believes that it has the following significance: it determines the concept of digital literacy with Chinese characteristics and international vision, pays attention to the frontier requirements such as creativity improvement and special group service, expands four digital scenes of life, work, learning and innovation, and deploys comprehensive operations according to key tasks and projects. [Results/Conclusions] The authors argue that for various fields of library, information science and archives, the Action Plan will have extensive influence theoretically and practically, and its impact on digital literacy education of college students, in particular, is perhaps the most direct and far-reaching according to the research pattern and tradition of information literacy. The authors argue that the layout and action should be started as soon as possible for the education around digital literacy of college students.
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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
    Abstract345)      PDF(pc) (1879KB)(1045)       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.
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    Study on the Performance Evaluation of University Library Based on KPI
    SHI Jing
    Journal of library and information science in agriculture    2014, 26 (4): 67-70.   DOI: 10.13998/j.cnki.issn1002-1248.2014.4.016
    Abstract799)      PDF(pc) (1375KB)(1035)       Save
    KPI is an effective way for performance evaluation, the fundmental for library to carry out KPI system is amending sicientific and clear performance index, build orgnizational, department and personal performance index system based on the library practical, demostrate the content of the index, and validate the effectiveness of the designed index via survey and interview.
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    Social Network Analysis on the Patent Inventor team and core Inventor——Taking Institute of Polymer Optoelectronic Materials and Device of SCUT as Example
    WANG Li-jie
    Journal of library and information science in agriculture    2016, 28 (10): 72-76.   DOI: 10.13998/j.cnki.issn1002-1248.2016.10.016
    Abstract766)      PDF(pc) (1411KB)(1027)       Save
    Using the Institute of Polymer Optoelectronic Materials and Device of SCUT as an example, this paper searched the patents invented by the institute teachers and constructed the cooperation frequency matrix and Jaccard index matrix, and then drew the cooperation network map of inventors by using Ucinet and Netdraw, and finally found out the core inventors from these teachers based on centrality analysis. Results showed that there was a big team with 24 inventors while the core inventors were Cao Yong and Peng Jun-biao, and a small team with 3 inventors while their positions were equal.
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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
    Abstract569)      PDF(pc) (4229KB)(1024)       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.
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    Bidirectional Empowerment Between Knowledge Service and New Quality Productive Forces Theoretical Interpretation and Practical Path
    ZHAO Ruixue, LI Tian, GUAN Zhihao, XIAN Guojian, KOU Yuantao, SUN Tan
    Journal of library and information science in agriculture    2024, 36 (2): 4-14.   DOI: 10.13998/j.cnki.issn1002-1248.24-0171
    Abstract677)      PDF(pc) (1196KB)(1012)       Save
    [Purpose/Significance] New quality productive forces is the latest pattern of productivity development under the background of data-driven intelligence. To explore the mechanism and practical way of bidirectional empowerment of knowledge service and new quality productive forces has important theoretical and practical significance for giving full play to the effectiveness of new quality of data elements, new power of digital intelligence technology and new application of intelligent service, so as to promote the cultivation of new quality productive forces and improve knowledge service. [Method/Process] Based on the summary of the development process of knowledge service and the new interpretation from the perspective of new quality productive forces, this study analyzes the internal relationship and external manifestations of the bidirectional empowerment of knowledge services and new quality productive forces, constructs the bidirectional empowerment mechanism of knowledge services and new quality productive forces, and proposes the bidirectional empowerment path. [Results/Conclusions] "Factor reorganization, scientific and technological innovation, and quality service" has become the internal relationship between knowledge service and new quality productive forces. Data factor as the core production factor, digital intelligence technology as the key production technology, and intelligence-driven new business forms and new models as the common carrier, which is an important basis for intelligent knowledge service and new quality productive forces bidirectional empowerment mechanism. Intelligent knowledge service cultivates the new quality productive forces through three important ways: accelerating scientific and technological innovation, opening up new ways and creating new business forms. New quality productive forces drives the development of intelligent knowledge service and improves the service by solving the resource dilemma, technology dilemma and talent dilemma, and creating new competitive advantages. This is an important manifestation of the bidirectional empowerment mechanism of new quality productive forces and intelligent knowledge service. After clarifying the empowerment basis and the performance of the bidirectional empowerment mechanism, this study proposes that the two kinds of empowerment should be realized from the following four aspects: a) Taking the market demand as the guide by mining new value and responding to new demand, and grasping the new quality growth engine; b) Taking data elements as the center, the compacting intelligent driving base is realized by building the data element empowerment system and improving the standardization of element utilization; c) Taking technological innovation as the key way by releasing the potential of key elements and creating fusion application scenarios to consolidate the foundation of fusion application; d) Starting from the application scenario as the starting point, the bidirectional empowerment mechanism is put into practice in various fields.
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    Developing the New Quality Productivity: Responses and Reflections on the Discipline of Information Resource Management
    XIA Yikun, JIANG Jie, ZHANG Xiaheng, WANG Jiandong, ZHOU Wenjie, YANG Xinya, LI Yang
    Journal of library and information science in agriculture    2024, 36 (1): 4-32.   DOI: 10.13998/j.cnki.issn1002-1248.23-1101
    Abstract421)      PDF(pc) (5126KB)(1006)       Save
    The scientific connotation, strategic considerations and practical ways of "new quality productive forces" have received wide attention from the political, academic and industrial circles. Cultivating and developing new quality productive forces means fundamentally changing the mode of production. It is necessary to grasp the practical direction of new quality productive forces from their scientific connotation and internal logic, and explore the scientific way of cultivating and developing the new quality productive forces from China's national conditions. As an important engine of economic development in the new era, its connotation characteristics, development path, opportunities and challenges are worthy of further discussion. For this reason, seven experts were invited to share their perspectives. 1) The deep logic and realization path of the construction of new quality productive forces and high-quality data resources. This paper discusses in depth the background and connotation characteristics of the high-quality data resources, and analyzes the internal logic of the mutual promotion between high-quality data resources and the development of new quality productivity. It is proposed that the construction of high-quality data resources must implement the concepts of innovation, coordination, openness, credibility and sustainability, and follow the construction strategies of concept innovation, model innovation, structural innovation and technological innovation. 2) The theoretical logic and practical path of data elements empowering new quality productive forces. In the new era of green and intelligent development, there is a profound dialectical relationship between data elements and new quality productive forces, and a new situation of economic and social development is accelerated in the spiral ascent of complementarity. We should comprehensively build a data space governance model with clear data ownership, smooth data path, guaranteed data quality and orderly and standardized algorithm computing power, expand new quality production capacity and production factors with the goal of human-machine cooperation and promote sustainable economic and social development. 3) Accelerating the promotion of data rights. Data can act on new quality productive forces from the technical, factor and industrial dimensions, and accelerate the formation of new quality productive forces. The multiplier effect of data elements on new quality productive forces will involve many dimensions, levels and stages, the most important and fundamental of which is how to determine the ownership of data. The measures for speeding up the promotion of new quality productive forces are discussed, such as constructing the theory of property rights in accordance with the characteristics of data and the law of development of new quality productive forces, speeding up the clarification of the types and scope of data confirmation, and improving the supporting system of data confirmation. 4) Promoting China's modernization path with Chinese-style digitization. Accelerating the promotion of Chinese-style digitization is not only the only way to realize Chinese-style modernization, but also the core to fully release new quality productive forces and build China's asymmetric competitive advantage under the new situation. It is suggested that in the process of digitalization and informatization in China, the information resource management industry plays a vital role and bears the important responsibility of digital transformation. 5) Interpreting the mission of public libraries from the perspective of new quality productive forces. Since its establishment, public libraries have been based on the concept of enlightenment. Faced with the profound digital transformation of society, today's public libraries need to further develop the potential of empowering the people in the field of digital economy and make them play an active role in the development of new quality productive forces. Public libraries need to further develop their potential to empower people in the field of digital economy, so that they can play an active role in the development of new quality productive forces. They should actively participate in data commercialization, promote the effective use of data elements and the efficiency of resource allocation, and enable more people to obtain and use data elements equally through open access and digital services. 6) The intelligent transformation of university libraries from the perspective of new quality productive forces. In the process of developing new quality productive forces, we should fully understand the profound meaning of new productive forces, based on the core tasks of providing a strong guarantee for the development of new quality productive forces in higher education, grasp the development opportunities, and realize the high-quality development of the industry. This paper explains the understanding of university libraries on the three key words of new quality productive forces, and proposes that the re-understanding and realization of library intelligence is an important starting point for the development of new productive forces. 7) To support information resource management discipline to accelerate the development of new quality productive forces. From the perspective of information resource management discipline, this paper analyzes several aspects of "doing something" under the rise of new quality productivity concept, including theoretical system, information resource guarantee, information analysis and consultation, scenario building, knowledge popularization and civic literacy cultivation. The content of academic evaluation, information policy, intellectual property rights, digital consumption behavior and other directions related to new quality productivity are also important directions that the discipline needs to pay attention to.
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    Conversion of Enzyme Activity unit (non-SI unit) to SI unit for CAT, POD and APX
    LIU Chang-lai, TIAN Ya-ling, WANG Guo-dong, ZHENG Yan-yi, LI Yan-wen
    Journal of library and information science in agriculture    2015, 27 (8): 160-163.   DOI: 10.13998/j.cnki.issn1002-1248.2015.08.039
    Abstract1420)      PDF(pc) (1347KB)(999)       Save
    In order to spread the SI system and change the chaotic situation about the enzyme activity unit of CAT and POD and APX, we downloaded 45 papers published in 2013 and 2014 containing CAT, POD and APX from springer database, and analyzed the catalytic mechanism and the method for determination of enzyme activity and the definition method of enzyme activity about CAT, POD and APX. We found that these enzyme activities of three enzymes were expressed by reduction rate of reactant amount or increasing rate of resultant amount which they catalyzed, and the amount which catalyzed could be detected at a certain wavelength. So through molar extinction coefficient of the reactant or resultant at its certain wavelength, all kinds of enzyme activity unit of CAT and POD and APX could be convert to IS unit by using three formulas, for example, extinction coefficient for hydrogen peroxide was 43.6 L/ (mol·cm) at 240 nm, for tetraguaiacol was 26.6 L/ (mmol·cm) at 470 nm, extinction coefficient for ascorbic acid was 2.8 L/ (mmol·cm) at 290 nm.
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