[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.

[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.

[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.

[Purpose/Significance] With the development of digital humanities education service of university libraries in China, it is very important to explore its service effect. Based on this, this paper intends to discuss the key influencing factors of university libraries' participation in digital humanities education services. After analyzing the current development status of digital humanities education in Chinese universities, this paper will provide theoretical basis for university libraries to improve their service ability of digital humanities education, which is conducive to promoting the development of China's new liberal arts construction task and improving the digital humanities literacy of college students. [Method/Process] By using literature research, network investigation and system analysis method, the digital humanities education situation of six universities in China was taken as the object. Based on the WSR method, we sorted out the service modes of university libraries' participation in digital humanities education from three dimensions: W(digital humanitiesresources, projects, technologies and tools, etc.) -S(curriculum education mode) -R (librarians),as well as the satisfaction of college library services provided by college student user groups involved in digital humanities education during digital humanities research with the purpose of improving digital humanities literacy. [Results/Conclusions] The above six university libraries have played an important role in the digital humanities education of colleges and universities. They have provided different degrees of support for the development of digital humanities education of colleges and universities from the five aspects of data resources, digital humanities technology and tools, projects, curriculum settings and professional librarian services. At the same time, based on the analysis results of the research on the needs of student user groups, it is proposed that the future university libraries should take the needs of users as the core to build a three-dimensional digital humanities education service platform of "collaboration between library and institute + digital humanities" to meet the individual needs of digital humanities education. To further exert the advantages of university libraries in resources, education, technology, talent, space and other aspects, such as improving the accuracy of matching supply and demand, and proactively providing digital humanities concepts and methods to traditional humanities teaching services, so as to support the development of digital humanities education and its own service innovation. At the same time, domestic scholars are expected to make in-depth analysis on how to strengthen the professionalization and professionalization of digital humanities librarians and how to fully integrate emerging technology resources into digital humanities education, so as to enrich the research content of digital humanities education in domestic university libraries.

[Purpose/Significance] In 2021, the Ministry of Education of China issued the "Norms for the Construction of Digital Campuses in Higher Education Institutions (Trial)", which mentioned that universities should attempt to form a new model of academic exchange and resource sharing through the construction of institutional repositories (IRs). The construction of knowledge resources in university IRs is gradually developing towards the next generation IRs. Research data resources are an important component of the future resources. From the perspective of the generation, acquisition, and existence of information resources in universities, the institutional resources in universities primarily consist of resources generated by "industry, academia, research and application" activities, including teaching resources, scientific research resources, design resources, scientific activity resources, etc., which are specifically reflected in the activity process such as scholar resources, research activity resources, research process resources, and research achievements resources. Research data resources are studied as the research object in this article. [Method/Process] This paper analyzes the formation mechanism of institutional knowledge resources, and conduct research on the integration, management and reuse of research data resources, including: 1) internal factors of research data, data generation, source, type, structure, and dependency mode; 2) research on external elements of data, such as data standards, unique identifiers, data registration, data protocols, data rights, data reuse, and data sharing Through the study of internal and external factors, the influencing factors, functions and roles, responsibilities and rights, permissions and attribution of data integration management and data reuse were sorted and interpreted and feasible methods were designed for research data management, collection, implementation, and registration. In order to ensure the effectiveness of data management, a series of standards and schemes have been developed, such as data type and format standards, metadata schemes, and data guardianship demand survey templates. The purpose is to achieve data discovery, interoperability, and reuse through continuous monitoring of scientific data. The basic rules of reuse are mainly divided into: 1) reuse: the concept of reuse, reuse, sharing, and incomplete equivalence in reuse; 2) sharing: possible to be used; 3) protocol usage: discussion about how to use it; and 4) rights use: complying with the data copyright agreement. [Results/Conclusions] Through research courses, the development and implementation of favorable data management and reuse strategies have clarified the data objects, management set management services, and data reuse permissions of research data in university IRs. We have clarified the current situation and urgent issues to integrate research data into the long-term preservation, management, and sharing and reuse system of knowledge resources in university IRs. We have defined the responsibilities, management mechanisms, standardized business processes, permission attributes, data exchange platforms, data registration, and data reuse of research data subjects by category, region, and field, and provided some suggestions and guarantee measures for the establishment of a data management center in China.

[Purpose/Significance] In recent years, challenges such as pandemics, wars, and natural disasters have posed numerous threats to China's food security. As the core of future agricultural productivity improvement, the importance of the seed industry has been continuously emphasized by the government. To facilitate preservation and utilization, scholars have integrated and digitized a vast amount of germplasm resources. However, the current platforms of crop germplasm resource knowledge services still suffer from issues such as diverse and fragmented large-scale heterogeneous data sources, lack of interconnection among data, and insufficient exploration of the data, thereby falling short of achieving intelligent and semantic research on germplasm resources. Therefore, this article aims to propose an effective method for knowledge organization and semantic association to meet the growing demand for intelligent knowledge services from users. The proposed method is to provide insights into the development of germplasm resource knowledge service platforms tailored for computational breeding. [Method/Process] This paper conducted a comparative analysis by examining the description and organization of germplasm resource data domestically and internationally. Four mainstream international platforms of germplasm resource knowledge services were selected for comparison from five perspectives: general overview, resource quantity, the types of knowledge, retrieval methods, and results. The deficiencies of these platforms in intelligent services such as text mining, semantic retrieval, and knowledge computation were summarized. In general, these platforms still rely on keyword-based retrieval as the primary means of searching, lacking systematic modeling of germplasm resource knowledge and the ability to achieve semantic retrieval in an intelligent environment. However, with the development of information technology in the era of big data, there is a growing demand in China to promote the development of computational breeding and provide more accurate, faster, and more intelligent knowledge resources to researchers and ordinary farmers through AI-based germplasm resource knowledge services. Therefore, in response to these new demands, the article proposes the construction of a panoramic crop germplasm resource knowledge graph and the development of a knowledge graph-driven germplasm resource knowledge service platform. [Results/Conclusions] The knowledge graph provides a more efficient and intelligent form of knowledge organization, and a knowledge service platform based on the knowledge graph contributes to improved efficiency and accuracy of knowledge services. In the next step, this research will focus on building a large-scale germplasm resource knowledge graph based on germplasm resource data and expanding it with other data, such as genotype, phenotype, environmental, and literature information. The application exploration will be conducted in scenarios such as intelligent question answering and knowledge-based computational breeding.

[Purpose/Significance] With the development of politics and economy, the public's attention to health information has significantly increased. The public's behavior of searching, sharing, avoiding, and collaborating on health information has attracted widespread attention. In the ubiquitous information environment, the impact of information behavior interactivity is also gradually increasing. The conflict and control of interpersonal information behavior are gradually receiving attention. Among various types of interpersonal relationships, conflicts and controls in family health information behavior are more prominent, with intergenerational conflicts and controls being the most typical. Therefore, taking the intergenerational relationship between parents and children as the starting point, this paper explores the causes of intergenerational conflict health information behavior and its mechanism in the implementation/response process of social control. An analysis of intergenerational conflict health information behavior can provide assistance for the public to better handle intergenerational relationships, improve the efficiency of parent-child health information communication, and provide certain reference for research on interpersonal health information behavior based on interactivity. [Method/Process] On the basis of literature review, centering on the interactive characteristics of intergenerational health information behavior, from the perspective of information conflict and social control, and taking the whole process of health information behavior interaction of different subjects as the underlying logic, this paper puts forward five core issues. A questionnaire was designed based on the core questions. From the perspective of parents as implementers of control behavior, we investigated the attitudes and reactions of children towards family conflict health information behavior. From the perspective of children as implementers of control behavior, we investigated parents' attitudes and responses to conflict health information behavior in their families. [Results/Conclusions] It is found that there are differences among family members in the information acquisition situation, information source selection and judgment in the preparatory process of implementing/responding to social control. In the process of implementing/responding to social control, family members will choose different ways to implement/respond to different social control, such as information sharing, information evaluation, information avoidance, and information utilization. After implementing/coping with social control, compared with children, parents' sharing behavior and control behavior are more likely to be affected by children's attitudes. Intergenerational conflict health information behavior plays an important role in the implementation/response process of social control. Based on the analysis, the analysis model of intergenerational conflict health information behavior was constructed, and the causes of intergenerational conflict health information behavior and its mechanism in the implementation of social control were explained to some extent. Interpersonal communication is an important means to alleviate intergenerational health information conflict. In the future, qualitative research methods can be used to supplement and improve the model, and more in-depth research and exploration can be conducted around issues such as intergenerational conflict health information behavior and intergenerational information communication.

[Purpose/Significance] In the digital era of the Internet of Things, data-intensive academic research paradigms have accelerated, promoting the reconstruction of research libraries' new knowledge service ecology based on massive resources and data. With the development of smart libraries, "web-scale discovery service" has become the core functional module for the implementation of intelligent services in the next-generation library service platform. Which kind of next-generation library service platform is more suitable for building web-scale discovery services? How to build web-scale discovery services? These are issues that the library industry pays more attention to in building smart libraries. [Method/Process] This article mainly adopts a research method that combines literature review with case studies. It reviews the current research status of "web-scale discovery service" both domestically and internationally, and uses the Shanghai Library as a case study for empirical research. It takes the exploration of intelligent data service mode of Shanghai Library's third-generation service platform as the research object, reviews the technical path, resource strategy, data management, and service methods of the web-scale discovery services based on the FOLIO platform micro-services architecture, and explores new ideas and new technologies for improving the value of knowledge services through "user-centered" web-scale discovery services in the digital transformation of libraries. [Results/Conclusions] Micro-services architecture is a service-oriented architecture with high flexibility and scalability. Based on the FOLIO platform's micro-service architecture and using the open-source discovery tool Vufind as a resource discovery portal, libraries can build their next-generation service platform suited for building web-scale discovery services in smart libraries. This platform allows customization and expansion of additional intelligent service modules as needed, to meet different levels of service demands. Therefore, the author suggests that libraries should choose the open-source FOLIO platform, which utilizes micro-service architecture to serve as the next-generation service platform for smart libraries. Additionally, librarians are encouraged to customize and develop personalized web-scale discovery services, considering their specific needs. Due to the fact that the research object of this article is a large-scale research library in China, the practical experience and research methods presented here have certain limitations. We hope that the research conclusions of this article can provide references for librarians when selecting and implementing relevant systems and services for building web-scale discovery services.