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25 February 2025, Volume 45 Issue 01
    

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  • Artificial Intelligence Driven Intelligence Services and Decision Support: Connotation, Logic and Path
    Library & Information. 2025, 45(01): 1-8. DOI:10.11968/tsyqb.1003-6938.2025001
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Focusing on the macro cognitive concept, connotation, and framework of empowering intelligence services and decision-making with artificial intelligence, the aim is to conduct in-depth exploration from three levels: connotation, logic, and path. Firstly, the connotation of artificial intelligence in intelligence services has been clarified, pointing out that it achieves efficient collection, deep processing, precise analysis, and rapid transmission of intelligence through intelligent means; Secondly, the internal logic of empowering intelligence services and decision-making with artificial intelligence was analyzed, including three major elements: integrated innovation, scenario driven, and strategic leadership; Finally, the specific path of empowering intelligence services with artificial intelligence was explored, including the construction of intelligent response systems for intelligence perception and digital intelligence empowerment, innovative intelligent Q&A interaction paradigms adapted to scenarios, content construction and optimization of intelligent intelligence decision-making systems, and the shaping of application-oriented "smart+" intelligence services and decision-making models. Through in-depth research on these issues, cognitive support and logical guidance have been provided for the application of artificial intelligence in the field of intelligence services, which helps to promote the modernization transformation and innovative development of intelligence services.
  • Research on Policy Content Q&A Service of Intelligence Think Tank Integrating Large Language Models——A Case Study of Food Security Policy
    Library & Information. 2025, 45(01): 9-20. DOI:10.11968/tsyqb.1003-6938.2025002
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     In early 2025, China released the DeepSeek-R1 inference model, promoting the arrival of an era of AI that benefits all. How to effectively integrate intelligent technologies into intelligence think tanks to enhance their service response capabilities, and validate service scenarios based on data from specific fields to achieve a seamless connection between theory and practice, has become a key issue that needs to be addressed in the practical application of intelligence think tanks. This study focuses on empowering policy content Q&A services in intelligence think tanks using large language models. First, it analyzes the tasks involved in policy content Q&A services and explores the feasibility of large language models in this context. Next, a service solution that integrates large language models for food security policy Q&A in intelligence think tanks is designed. Finally, empirical research is conducted using food security policy texts as the primary data source. The study constructs datasets by extracting elements and their relationships from policy texts, fine-tunes Deepdeek model using the LoRA method, integrates it into the LangChain framework, and incorporates a local knowledge base to form a complete service solution. The results demonstrate the high feasibility and professionalism of the proposed solution, providing essential theoretical and practical support for the implementation of policy content Q&A services in specific domains within intelligence think tanks.
  • Research on Intelligence Response System for Major Emergencies Empowered by LLM-based Agents
    Library & Information. 2025, 45(01): 21-31. DOI:10.11968/tsyqb.1003-6938.2025003
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    In the context of safeguarding the new development paradigm with a new security landscape, enhancing the response capabilities for major emergencies has become a highly practical research topic, which is conducive to accelerating the modernization of emergency management systems and capabilities. Firstly, this research comprehensively analyzes the current issues in scientific response for major emergencies and proposes optimization directions in three aspects: theory, system, and capability. Secondly, based on intelligence awareness as a process guide and LLM-based Agents as a technology enabler, this research explores the conceptual connotation and system construction approach of intelligence response, proposes an intelligence response system that integrates a comprehensive task command level, emergency resource management level, dual-response deal level, and multi-agent collaboration and linkage level. Lastly, it presents response strategies for major emergencies, after addressing the practical issues highlighted in this paper. The security challenges and emergency management dilemmas faced by China necessitate a systematic approach, which in turn tests the capabilities of the system. Intelligence response system for major emergencies, empowered by LLM-based Agents, represents a feasible way to integrate intelligence analysis and management activities organically.
  • Artificial Intelligence Empowers Intelligent Government Intelligence Decision-Making Analysis: Logical and Practical Approaches
    Library & Information. 2025, 45(01): 32-42. DOI:10.11968/tsyqb.1003-6938.2025004
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    Starting from the cognition of the digital age, this article reviews and sorts out the logical and practical approaches of empowering intelligent government intelligence decision-making with artificial intelligence. Through literature research, on the one hand, the logical path of empowering intelligent government intelligence decision-making with artificial intelligence is sorted out and explained; On the other hand, the practical approach of empowering intelligent government intelligence decision-making with artificial intelligence is explored from three aspects: task orientation, core support, and guarantee mechanisms. By reviewing the development history of artificial intelligence, this paper outlines the integration path of artificial intelligence with intelligence, smart government, and government decision-making. It proposes a logical and practical approach for AI to empower smart government intelligence decision-making, enriching the research content of the intersection of intelligence and artificial intelligence, and providing useful references and guidance for the construction of smart government.
  • Towards "2030+" Full Scenario-Driven 6G Knowledge Services: Requirements, Framework, and Application Perspectives
    Library & Information. 2025, 45(01): 43-53. DOI:10.11968/tsyqb.1003-6938.2025005
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    The accelerated arrival of the 6G era brings great challenges and opportunities to the knowledge service field, and the research on the full-scene-driven 6G knowledge service can provide certain references for the transformation and upgrading of the knowledge ecosystem and the innovation and development of the knowledge service model in the 6G era. On the basis of summarizing and analyzing the current state of research, a 6G knowledge service requirement model is proposed, an all-scene-driven 6G knowledge service framework is constructed, and some of the key technologies involved are analyzed and their future applications are prospected. The core of 6G's knowledge service lies in how to efficiently match service demand, service capability and service resources to achieve the service vision of “all-scene on-demand service” and “everything is service”, and to realize the development goals of “knowledge service content on demand”, “knowledge service environment on demand” and “knowledge service resource sharing on demand”. The service vision of “all-scene on-demand service” and “everything is service” can be achieved by efficiently matching service capacity and service resources, so as to realize the development goals of “knowledge service content on-demand”, “knowledge service environment” and “knowledge service resources”.
  • The Relationship Between Scientific Researchers' AI Literacy and Intentions to Use Artificial Intelligence ——The Moderating Effect of Intellectual Humility
    Library & Information. 2025, 45(01): 54-65. DOI:10.11968/tsyqb.1003-6938.2025006
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     Under the background of intelligence, AI is widely used in all aspects of scientific research, which poses new challenges to researchers' literacy. This study explored the influencing factors of AI anxiety and use willingness among researchers to provide guidance for alleviating researchers' AI anxiety, improving their use willingness, and better integrating AI into scientific research. This article is based on a structural equation model using partial least squares method to explore the relationship between researchers' AI literacy, AI anxiety, and use willingness in research scenarios, and to analyze the moderating effect of intellectual humility. It was found that AI literacy is positively correlated with AI use willingness, AI anxiety mediates AI literacy and AI use willingness, and AI literacy reduces AI anxiety, which in turn enhances AI use willingness. Intellectual humility attenuates the negative effect of job replacement anxiety on use willingness and enhances the negative effect of academic ethics anxiety on use willingness. The study encourages researchers to enhance their knowledge of artificial intelligence, improve their ability to use and judge AI, maintain an open attitude towards AI and openness of changing existing views on AI.
  • Ethical Dimension of Responsible Social Science Data Governance*
    Library & Information. 2025, 45(01): 66-73. DOI:10.11968/tsyqb.1003-6938.2025007
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    The research on the ethical dimension of responsible social science data governance aims to deepen people's understanding of responsible social science data governance and promote its ethical implementation. Based on the public interest purport and four-dimensional model of responsible research and innovation (RRI), this paper proposed that the ethical dimensions of responsible social science data governance include: foresight, prudence, understanding, responsibility and public benefit. Foresight aims to fulfill forward-looking responsibility through anticipatory intervention, prudence aims to implement the concept of positive responsibility through reflective governance, understanding aims to promote stakeholders' interaction through consultation and cooperation, responsibility requires stakeholders to share responsibility, and public welfare requires that social responsibility be always implemented. Its "five-in-one" constitutes the structure of ethical elements of responsible social science data governance, demonstrating its ethical dimension.
  • Exploration of the Practice Path of Digital Humanities from an Evidence-Based Perspective
    Liu Jialong Li Yafei Song Ningyuan Pei Lei
    Library & Information. 2025, 45(01): 74-86. DOI:10.11968/tsyqb.1003-6938.2025008
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    Digital humanities provide new methods for the processing of humanities research materials, but in specific practice, there is a phenomenon of overemphasizing data analysis and neglecting problem argumentation and explanation, making it difficult to effectively integrate into the traditional framework of humanities research. From an evidence-based perspective, this paper sorts out the evidence-based process of humanities research, constructs the SMCI model to describe humanities research problems, and carries out problem-driven digital humanities evidence-based decision-making from three levels: evidence retrieval, evidence quality evaluation, and evidence synthesis. Taking the Nanjing Massacre as an example, this paper sorts out the specific paths of evidence retrieval, evidence quality evaluation characteristics, and evidence integration in the description of humanistic research problems from the perspective of evidence utilization retrieval; sorts out the differential characteristics of materials in the argumentation of humanistic research problems from the perspective of evidence creation retrieval, analyzes the relevance between secondary evidence and problem argumentation, and creates primary evidence according to the needs of argumentation. The results show that the evidence-based approach to digital humanities provides a theoretical basis for data analysis with a genealogy of research questions, a source of research evidence, and explainable research results. The implementation of problem-driven digital humanities evidence-based decision-making requires the reconstruction of humanities research materials based on the evidence-based paradigm.
  • Narrative Logic and Construction Strategy of Digital Narrative Project of Cultural Heritage* ——Analysis based on 11 cases at home and abroad
    Zhang Qunqun Pei Jiajie Guo Lirong
    Library & Information. 2025, 45(01): 87-95. DOI:10.11968/tsyqb.1003-6938.2025009
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    Cultural heritage digital narrative projects exert new cultural potential due to the uniqueness of digital media technology and narrative logic. Constructing the narrative logic analysis framework of cultural heritage digital narrative projects with narrative structure, narrative space-time and narrative perspective, this paper studies 11 typical cultural heritage digital narrative projects at home and abroad. Based on the results of the case study, the narrative logic of cultural heritage digital narrative projects is characterized by the procedural and rhizome nature of narrative structure, the variability and openness of narrative space-time, and the presence and sense of immersion of narrative perspective. On this basis, an attempt is made to construct a narrative logic system for the digital narrative of cultural heritage that integrates "narrative structure narrative perspective narrative time and space" in three dimensions, and to propose construction strategies with potential for promotion. The research results indicate that non-linear structures should be used to enrich exploration paths, cross temporal and spatial dialogue should be achieved through the use of digital intelligence technology, and deep interaction should be enhanced to create immersive experiences, thereby enhancing the dissemination effect and public recognition of cultural heritage.
  • Constructing Selection Criteria for Open Educational Resources at University Libraries in China*
    Huang Ruhua Zhao Yang Shi Leyi
    Library & Information. 2025, 45(01): 96-105. DOI:10.11968/tsyqb.1003-6938.2025010
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    The selection criteria for open educational resources(OER) can provide scientific evidence and theoretical guidance for the development of OER in university libraries. This paper collects and integrates domestic and international policies, regulations, academic papers, reports, guidelines and evaluation standards from international organizations, as well as construction practices of OER in the libraries of the top 100 universities in the QS World University Rankings. Based on this comprehensive review, it proposes the composition and basis of OER selection criteria and establishes a selection framework for OER encompassing four dimensions: resource security, pedagogical applicability, content reliability, and technological usability.
  • Metadata Management System for Data Lakes:Requirements Analysis, Functional Architecture, and Future Directions*
    Zhang Guixiang Jia Junzhi Xue Pengzhen
    Library & Information. 2025, 45(01): 106-116. DOI:10.11968/tsyqb.1003-6938.2025011
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    As global data production grows exponentially, traditional data management systems are increasingly challenged by demands for handling massive, diverse, and real-time data. Data lakes, serving as extensive repositories for raw data, have emerged as essential tools for managing data of varying types and scales. To prevent data lakes from deteriorating into data swamps, effective metadata management is crucial. Focusing on the data lifecycle within data lakes, this paper explores metadata management requirements, categorizes types of metadata in data lakes, and provides a comprehensive analysis of metadata architectures across various fields. The study further synthesizes current metadata architectures in data lakes and outlines the core functionalities of metadata management systems, highlighting their critical role in data lake ecosystems. This discussion of data lake operation mechanisms and metadata management logic aims to support the growing data management challenges.
  • Can the Construction of Public Cultural Service System Boost Cultural Consumption?* ——Evidence from the Demonstration Areas of the National Public Cultural Service System in Six Eastern Provinces
    Wang Zhouhong Xiao Peng
    Library & Information. 2025, 45(01): 117-129. DOI:10.11968/tsyqb.1003-6938.2025012
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    The public cultural service system is a foundational project for building a strong socialist cultural nation. An objective evaluation of its impact on cultural consumption is conducive to fully understanding the spillover effects of the public cultural service system, stimulating the vitality of cultural consumption, and promoting the coordinated development of cultural affairs and industries. Taking the implementation of the national public cultural service system demonstration area policy as a quasi-natural experiment, and using the Differences-in-Differences (DID) to conduct an empirical analysis of the panel data of 81 prefecture-level cities in six eastern provinces, the paper examines the causality in the level of public cultural services and residents’ cultural consumption. The results indicate that the construction of the public cultural service system can enhance the level of cultural consumption among urban residents, with effects increasing over time, where residents' income and expenditure play a mediating role. However, the cultural consumption of rural residents has not been significantly affected by the policy. This result reveals how public cultural services can activate cultural consumption and empower cultural industries on the basis of safeguarding people's basic cultural rights and interests. 
  • Research on the Value and Model of Library Trusted Data Space Construction*
    Jiang Dongying
    Library & Information. 2025, 45(01): 130-136. DOI:10.11968/tsyqb.1003-6938.2025013
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    The construction of trusted data space is an important part of data governance in our country. The library's participation in the construction of trusted data space has a solid foundation of public logic, service logic and system logic, which can give full play to the values of data resources, data management, knowledge service and trust construction. In the construction practice, libraries and industries need to play an active role, find the cutting position in the national policy, and find the best model in the practice exploration. The successful construction of European digital library and Civic Switchboard provides reference for the construction of trusted data space in Chinese libraries.
  • Remembering the Arduous Pioneering of Heng Ru: A Century of Inheriting the Legacy and the Prosperity of Gansu Provincial Library*——Summary of the Academic Conference Commemorating the 80th Anniversary of the Establishment of the National Northwest Library and the 125th Anniversary of the Birth of Mr. Liu Kwoh-Chuin
    Liu Ting Yang Hongwei
    Library & Information. 2025, 45(01): 137-144. DOI:10.11968/tsyqb.1003-6938.2025014
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    Both the National Northwest Library and Mr. Liu Kwoh-Chuin's thoughts on library science are monumental achievements in the development history of Chinese libraries. At the academic seminar commemorating the 80th anniversary of the establishment of the National Northwest Library and the 125th anniversary of the birth of Mr. Liu Kwoh-Chuin, participating experts and scholars conducted in-depth discussions on the establishment and operation practice of the National Northwest Library, the connotation and exploration of Liu Kwoh-Chuin's thoughts on library science, as well as the contemporary inheritance of the spirit of the National Northwest Library and its librarians. The librarian system, business system, and collection system formed during the establishment and operation practice of the National Northwest Library, Liu Kwoh-Chuin's emphasis on social education, reference and consultation services, local documents, and the professional qualities of librarians in his thoughts on library science, as well as the patriotic spirit of arduous struggle and protecting culture to save the nation, the professional spirit of seeking truth and being pragmatic, scientific and rigorous, and the service spirit of popularizing education, enlightening wisdom, providing advice to the government, and promoting culture demonstrated by the group of librarians of the National Northwest Library, all deserve to be inherited and developed by contemporary libraries.
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