During the 14th Five-Year Plan period,China's public libraries have made great progress. In the 15th Five-Year Plan period,it is proposed to take the high-quality development as a guideline to further develop public library systems in various fields,and improve the effectiveness of library services. Public libraries in China should give priority to strategic positioning,general-branch system that carries out integrated management of personnel,funds and property,service system to promote national reading campaign,new reading-space system,collaborative development system of literature resources,smart library system,new talent training system,and culture dissemination system,so as to ensure their quality resources to reach the primary level.

Given the relatively late start of the study and application of classic grounded theory in China,the source of other types of grounded theory,there are several gaps in the understanding of the methodology in the literature. This article reviews the relevant literature,elaborates the core principles of classic grounded theory,and comes up with a new operational core process,to shed light on a comprehensive understanding of the methodology.

In alignment with the directives of the national “15th Five-Year Plan”,the Guangdong library community used the Fifth Library Development·Lingnan Forum as a platform for in-depth discussions on the theme “Envisioning the 15th Five-Year Plan for Libraries,Proclaiming the 15th Five-Year Plan for Libraries”. The article presents the expert insights in three ways. Firstly,it summarizes the achievements of libraries during the 14th Five-Year Plan period and systematically identifies the difficulties,opportunities and priorities for development during the 15th Five-Year Plan period,focusing on two core tasks of “direct access to grassroots cultural resources” and “participation mechanisms for social forces”. Secondly,drawing on the international communication experiences during the 14th Five-Year Plan period,the article analyzes the practical value of applying for international awards,explores the critical pathways for acquiring resources,and highlights the strategic importance of the 15th Five-Year Plan in shaping the professional image of the library sector. Ultimately,the study outlines a new blueprint for library development during the 15th Five-Year Plan period.

This article attempts to examine the knowledge production function of libraries,focusing on the connotation and requirements of developing new quality productive forces during the 15th Five-Year Plan period. Driven externally by the demand for developing knowledge productivity from the macro-environment and internally by the function of library knowledge production,it provides a systematic review of the evolution of the knowledge production function of libraries against the backdrop of changes in the methods of knowledge production. Emphasizing its functional expansion in cultivating new quality productive forces,the study proposes countermeasures for building new knowledge productivity in libraries during the 15th Five-Year Plan period.

Based on a review of the 15-year grassroots reading promotion practice of Danzeng Quzha,a young herdsman from Sog County,Nagqu,Tibet,this paper explores the pathways and performance of his efforts to encourage a love of reading among the public in educationally underserved,high-altitude pastures. Through a fieldwork and participatory observation,the study illustrates Quzha’s progression from personal awakening to establishing literacy classes and founding Tibet’s first non-governmental public library. Thus,a cultural poverty alleviation model characterized by “government guidance + civil innovation + public welfare empowerment” has emerged. His experience exemplifies the integration of traditional culture with modern education,and the synergy between offline development and online outreach,offering a replicable framework for cultural revitalization in border areas. The study concludes that grassroots reading programs must align with local cultural contexts,and foster endogenous driving forces through government-business collaboration and continuous innovation to promote cultural awareness and social progress.

With the rapid development of large language models and advances in hardware support,the intellectualization of book acquisition,classification,and cataloging has become an emerging trend. Focusing on the Library Turing project in the Sun Yat-sen Library of Guangdong Province,this article outlines the evolution from automation to intellectualization in the process of book acquisition,classification,and cataloging. It analyzes the artificial intelligence practices in the Library Turing system and explores the basic principles,strategic approaches,core functionalities,key elements,and expected effectiveness of AI applications in book acquisition,classification,and cataloging.

In the transformation process of social governance of public cultural services,a collaborative governance mechanism has become the key driver for the sustainable development of new public reading spaces and the improvement of service efficiency. Taking the "Nantang Street City Study" in Wenzhou as an example,this paper explores the connotations and correlations of starting conditions,facilitative leadership,institutional design,and collaborative process through an analytical framework of the SFIC model,and thus establishes a SFIC collaborative governance model of new public reading spaces. The study proposes some optimization strategies,such as cultivating a cooperative environment,strengthening the collaborative concept,improving institution building,and intensifying process supervision,in order to provide case references and guidance for efficient governance of similar spaces.

Based on the theory of supply and demand matching,this paper analyzes the intrinsic mechanism of supply and demand matching in AI-enabled scenario-based public information services and develops a process framework following the logic of "identification-design-supply-management". It then proposes a series of implementation approaches,including embedding technologies in scenarios,integrating information resources,strengthening demand traction,and deepening human-machine collaboration,with the aim of optimizing the effect of AI empowerment in supply and demand matching of scenario-based public information services and facilitating the formation of a high-quality public information service system that is intelligent,responsive,and people-friendly.

The Third Plenary Session of the 20th CPC Central Committee （Third Plenary Session） opened a new chapter in promoting Chinese modernization. After two decades of operation,rural public cultural services have achieved remarkable results in benefiting the people through culture and empowering rural revitalization,but also face certain problems of involution. With a focus on building up China’s cultural strength,advancing culture-related institutional reforms,and promoting national rural revitalization,the Third Plenary Session clarified the logical path for rural public cultural services during the 15th Five-Year Plan period. Under the guidance of Xi Jinping Thought on Culture,it is necessary to shift the focus of governance downward by turning the end of the governance system into the target of governance,and promote integrated and balanced development by turning the weak links into the key hubs,in order to achieve high-quality advancement of rural public cultural services during the 15th Five-Year Plan period.

Digital inclusion is an effective approach to bridging the digital divide. As a global concern,measuring the extent of digital inclusion has become a key issue. By means of inductive content analysis,this study examines 66 research reports on Internet development released by the China Internet Network Information Center （CNNIC）,focusing on four digitally disadvantaged groups：non-Internet users,senior citizens,young people,and rural residents. From the perspective of “inclusion framework-inclusion levels-target group”,it summarizes the measurement of digital inclusion for disadvantaged groups in the reports. This paper validates the effectiveness of the three-dimensional analytical framework for measuring digital inclusion by analyzing these reports. It also demonstrates a mutually supportive relationship between digital inclusion measurement and related policy development. However,there are some challenges with current measurements,such as limited coverage of disadvantaged groups and uneven distribution of measurement dimensions.

This article examines China’s artificial intelligence（AI） data governance policy system in terms of policy formulation,key policy elements,and regional policy content. The study finds that AI data governance policies in China have been developed to varying degrees from national to local levels,and generally cover the issues of data subjects,data objects,data lifecycle management,and data security. It further discusses the optimization of the policy system,focusing on the development of policy systems from a deeper data perspective,the expansion of policy content that emphasizes the theory and methodology of data governance,and the diversified coordination between central and local governments with common progress.

How to evaluate the value of data has become the key issue for the circulation of data elements. Model-based data value evaluation is a new and effective intelligent way. Aiming at the shortcomings of the current value evaluation methods based on untrained data,which cannot effectively utilize the holistic scene information beyond the data content and model features,this paper proposes a training-free value assessment method with a mix of command engineering and the existing untrained methods,which uses the large models to understand and utilize the holistic information such as task type and data attributes. Through a simulation experiment,it conducts a comparative analysis of the effectiveness,robustness and generalization of different methods under the mainstream datasets. The study suggests that the untrained evaluation approach of data value can be effectively improved without adding excessive computational cost in combination with instruction engineering of large model and the no-training methods.

Interactive science videos innovate the way knowledge is disseminated and bring new opportunities and challenges for science popularization. Analyzing the influence of interactive features of videos on users’ participation behavior is crucial for the absorption and transformation of knowledge. By developing relevant hypotheses about the content and form of interaction,this article examines the impact of interactive features of science videos,such as interaction frequency,option openness,narrative,and feedback evaluation,on user engagement behavior using the ordinary least squares regression method,and designs a "counterfactual" experiment based on the propensity score matching method to analyze the causal relationship between the above processing variables and user engagement behavior according to the average treatment effect after matching,so as to eliminate the endogeneity problems caused by the original characteristics of the videos and ensure the robustness of the regression results. The empirical results show that interaction frequency has a significant positive correlation with users’ commenting and forwarding behaviors;option openness has a significant positive correlation with users’ bullet commenting,commenting,favoriting,forwarding,and liking behaviors;narrative has a significant positive correlation with each of the six user participation behaviors,while feedback evaluation has no significant effect on user engagement behaviors.

Amidst the profound macro-environmental changes and educational reforms,it is of great significance for university libraries to proactively formulate their 15th Five-Year Plans. Through the analysis of expert interview transcripts,academic literature,14th Five-Year Development Plans of university libraries,and national policies,this paper identifies the key points of the 15th Five-Year Strategic Planning for university libraries,focusing on value and orientation,system and governance,technology and service,resources and space,and talents and skills. The study attempts to explore the upgrading logic of university libraries in the 15th Five-Year Strategic Planning to promote their high-quality development.

Generative artificial intelligence（AI）trained with data containing copyrighted works may give rise to copyright disputes. The fair use rules of Japan’s copyright law and their applicability to generative AI training data can serve as a useful reference for China in handling related disputes and improving the copyright exception system. By reviewing the history and policy considerations of the fair use rules for AI training data in Japan,this paper explores the valuable lessons from Japan’s experience. Article 30-4 and Article 47-5 of Japan’s Copyright Law,the specific rules for fair use of AI training data,establish the purpose of non-enjoyable use as the elements for determining fair use. These provisions are flexible and respond to the copyright challenges posed by the development of generative AI,but they also have limitations in terms of weakened certainty and lack of necessary disclosure requirements. China’s copyright law should formulate general provisions on fair use for data training of works used by generative AI,that is,take the purpose of non-enjoyable use as the basis for judging the fair use of works by generative AI;and impose strict restrictions on the generative behavior of generative AI outputs to prevent the scope of fair use from being overly broad.

Exploring the process of science and technology （S&T） innovation and effectively integrating the key information in the process can provide the theoretical basis and practical support for the formulation and adjustment of S&T innovation strategy. Based on the multilayer network theoretical framework,the paper proposes a method for developing and analyzing the knowledge graph of S&T innovation strategy and conducts an empirical study on an enterprise in the Guangdong-Hong Kong-Macao Greater Bay Area. The multilayer network-based knowledge graph empowers the formulation,analysis,and adjustment of S&T innovation strategies,and provides a new perspective for interpreting the S&T innovation process through the analysis of patent litigation,the discovery of coopetitive relationships,the tracking of technology clusters,and the study of S&T development trends.

In the context of human-AI collaborative information retrieval,the performance of AI-generated content （AIGC） directly affects the efficient and accurate fulfillment of retrieval goals. Prompt reformulation is one of the crucial strategies to optimize AIGC performance. Using the questionnaire method,this paper designs a simulated conversational searching scenario focusing on medical concepts to explore the effects of four types of prompt reformulation,namely language style,explanation method,context creation,and source constraint,on the perceived performance of content generated by ChatGPT 3.5. The results show that the types of prompt reformulation significantly influence the perceived performance of AIGC. Prompts characterized by vivid language style and illustrative descriptions can significantly improve the vividness and immersion of the generated content. Prompts that feature argument-by-argument discussion and sources limited to academic literature can significantly increase the perceived performance of the generated content,in terms of accuracy and professionalism. Creating a professional scenario is the most effective way to rewrite a prompt,and the perceived AIGC performance （of the experimental group） outperforms that of the control group on all evaluation indicators. This study aims to identify prompt reformulation paradigms that can enhance the perceived performance of the generated content,and guide users to express their information needs more accurately and effectively in the context of AI search,thus shedding light on the optimization of models for AIGC systems in professional knowledge search scenarios.

Using the case study method,this article analyzes the community functions of the city's study based on typical practices in Guangdong Province,which include the creation of reading spaces,the building of community culture,and the governance of community culture. In terms of creating reading spaces,the city's study has created spaces for reading books,cultural activities,smart experiences,and recreation and communication. In terms of building community culture,the city's study plays a role in tapping cultural resources with local characteristics,carrying forward fine traditional Chinese culture,and developing advanced socialist culture. In terms of community cultural governance,the city's study participates in community cultural governance through interdepartmental coordination,citizen participation,and industry empowerment. Summarizing the experiences and shortcomings of the city's study in implementing its community functions,the study proposes to optimize the community functions of the city's study during the 15th Five-Year Plan period.

University libraries play an indispensable and central role in AI literacy education. By using online survey and induction method,this paper thoroughly explores the experience of foreign university libraries in AI literacy education,so as to provide insights for domestic university libraries to optimize AI literacy education and create an integration model of AI literacy education. The study identifies several key characteristics of AI literacy education in foreign university libraries：strengthening cooperation between internal and external institutions （for education subjects）;focusing on user guidance and librarian training （for education objects）,highlighting the improvement of basic literacy （in the form of education）,and emphasizing ethical and moral issues （in the content of education）. Based on the responses of foreign university libraries,the paper develops an integration model for AI literacy education,which outlines the corresponding strategies for the four "small integrations" of educational subject,object,form,and content,thus facilitating a "big integration" of AI literacy education among university libraries.

Taking the Treatise on Febrile Diseases and other ancient Chinese medical books as data sources,and according to their catalog structure,this paper creates a retrieval system for the formulas（or,prescriptions）recorded in ancient books of Traditional Chinese Medicine（TCM） by extracting formula information from these books through ChatGLM and storing it in a MySQL database. By parsing the prescription information through ChatGLM,and applying data mining algorithms such as Apriori,association_rules,community_louvain and other knowledge graph tools of Echart and Pyvis,it implements data mining on the ancient books and visualizes the knowledge graphs,thus establishing an LLM-based data mining system of TCM formulas. Based on the extracted formula information,it develops a knowledge Q&A system for TCM formulas on the BISHENG platform by using the retrieval-augmented generation algorithm . The results show that the recall rate for extracting formula names from ancient TCM books in this study ranges from 99.19% to 100%;the ROUGE-L values for the accuracy of formula composition,main functions,and usage are between 84.29% and 97.78%,except for Integrating Chinese and Western Medicine · Formulas;the accuracy of Chinese medicine name and dosage identification is greater than 98.00%,and the accuracy of main function parsing is greater than 86.00%. The data mining results are consistent with those of existing research;and the performance of knowledge Q&A is as expected.

Defining the core connotation,identifying the characteristic attributes,exploring the potential value,and clarifying the practical paths of digital humanities projects are of great value in advancing digital humanities research. This paper analyzes 35 champion programs from international digital humanities awards in the past five years,and answers the fundamental questions of“what is-what can be-how to be”about digital humanities programs based on the logic of forward thinking of“element identification-target motivation-practice orientation”. The study suggests that digital humanities programs are characterized by traceability,extensibility,participation,collaboration,and sustainability,which always maintain a healthy and harmonious coexistence;being reality-driven,policy guidance,technology empowerment,service upgrading,and personnel transformation are the core target drivers for the sustainable development of digital humanities programs. In the future,the practical orientation and development content of digital humanities projects can be further deepened,focusing on the concepts,technologies,resources,guarantee.

This article analyzes the development environment for public libraries in the 15th Five-Year Plan period from four perspectives：macro,industry,and Guangzhou. Based on Guangzhou’s practice of developing the "City of Libraries",it proposes some targeted approaches to formulate the 15th Five-Year Plan for urban public libraries,focusing on vigorously improving service quality and efficiency,continuously promoting professional development and responsible innovation,steadily and prudently exploring new forms of social development,actively exploring new paths for intelligent development,innovating service models for resource development and utilization,innovating the model for disseminating Chinese experience and expanding domestic and international professional exchanges and cooperation,and seeking practical results in institutional design and development planning implementation. The study suggests that the preparation and implementation of the 15th Five-Year Development Plan must pool the wisdom and efforts of the profession,and reflect on history and the future,so as to advance the modernization of Chinese public libraries.

Digital storytelling,as a new method for understanding digital humanities and stimulating humanistic creativity,can provide an epistemological and methodological perspective for digital humanities. This article explores the status quo of digital storytelling applied to digital humanities research from the perspectives of logical correlation and practical interaction. It aims to address how digital storytelling and digital humanities can coexist,by examining the concept of digital storytelling and its development. It is found that the logical correlation between digital storytelling and digital humanities is mainly reflected in four dimensions：educational values,subject collaboration,multiple interactivity and immersive experience;the practical interaction mainly focuses on digital humanities education,digital publishing,GLAM resource development,and data journalism creation;and the collaborative strategy involves the integration and coexistence of computational thinking and narrative thinking,the coordinated management of workshop development and project execution,and the two-way creation of interactive mechanisms and immersive experiences.

From the perspective of memory theory,archives,books and other documentary resources not only directly restore human memories,but also can dynamically and multiply deconstruct and reconstruct human memories through semantic organization. By analyzing the intrinsic mechanism of documentary resources involved in memory construction,this study designs a semantic organization model of documentary resources that includes three symbiotic fields and ecosystems：individual memory,social memory,and cultural memory. Considering the structure and characteristics of different documentary units,it elaborates the specific paths and methods by which documentary resources participate in memory construction during the semantic organization process of information collection and processing,data extraction and association,knowledge aggregation and dissemination. On this basis,this paper conducts an empirical study of the literature and documents on the early workers’ movement in Qingdao to demonstrate the steps of memory retrieval and deconstruction,memory analysis and reconstruction,as well as memory enhancement and dissemination,and to explore the approach of semantic organization of documentary resources for memory construction.

Based on the personal information management （PIM） process of preservation,management,and utilization,this paper introduces 4 UGC digital hoarding behaviors according to the 3 negative effects of excessive preservation,disorganized management,and ineffective utilization,namely overacquisition,difficulty in organizing,difficulty in deleting,and difficulty in reproducing. By collecting data on the 21 subjects through semi-structured interviews,it conducts a grounded theory study and develops a formation mechanism model for social media users’ UGC digital hoarding behaviors through logical reasoning and primary data coding. The study suggests that there are 3 types of UGC digital hoarding behaviors：platform hoarding,local hoarding,and third-party hoarding,which are influenced by factors of UGC information characteristics,UGC platform,UGC platform users,and social contexts. Digital UGC hoarding usually goes through 3 development stages：formation,maturity,and improvement. In addition to generating multidimensional,complex,and contradictory emotions,UGC digital hoarding may lead to negative platform usage or even dropout behavior;however,under the influence of positive emotions,users will spontaneously engage in“anti-digital hoarding behavior”.

By providing highly relevant search results from a relational perspective,this paper achieves a breakthrough from linked data to indexing through a knowledge graph-based indexing system specifically designed for research papers on the history of the Communist Party of China（CPC）,shedding light on the improvement of search efficiency using knowledge graphs. Powered by Lucene,a full-text search technology,this study integrates the entities and their relationships in the CPC history knowledge graph with the text of research papers,enabling the positioning and browsing of relevant entities within the literature. Using the knowledge graph and the Lucene full-text search engine,it achieves full-text and paragraph retrieval for multiple entities,significantly enhancing the relevance and accuracy of search results. The experiment shows that the system achieves an accuracy rate of 85.30% in paragraph division for 4,625 research papers. The improved algorithm incorporating multi-factor ranking has enhanced the authority and quality of search results. These findings validate the feasibility and effectiveness of the system in retrieving literature on CPC history.

As the traditional health knowledge services fail to meet the needs of the Internet era,AIGC-based intelligent health knowledge services are gradually taking the stage. Through a comprehensive research method,this paper explores the AIGC-driven intelligent health knowledge service model,and develops a service platform framework. The study suggests that the AIGC-enabled intelligent health knowledge service is a new type of knowledge service,and achieves human-computer interaction through smart platforms,which provides users with personalized and intelligent health knowledge services by using artificial intelligence technology.

It is necessary to activate the oral archives of urban memory at the data level,whose contents can be deconstructed,described,organized,and mined using knowledge graph technology. It not only provides materials for China’s cultural database,but also helps to build an urban memory chain. Based on the characteristics of the oral archives of urban memory,this paper creates an ontology model from the perspective of digital memory,by extracting the eight core classes of project,object,person,identity,place,time,events,and emotions. For example,in the Oral History Project of Shunde,a memory knowledge graph is developed using the Neo4j graph database,which can be used to reproduce the social landscape of Shunde on the horizon of events,trace the development of Shunde in the context of space and time,explore the spiritual traits of Shunde from the emotional dimension,and clarifiy the application value of memory knowledge graphs in the inheritance of urban memories based on empirical research.

Building an evaluation system is an important effort to promote the high-quality development of reading promotion. With a review of relevant theories and literature,this paper presents an evaluation index system for the service effectiveness of digital reading promotion in libraries using Delphi and Analytical Hierarchy Process methods,which consists of 4 first-class indicators,11 second-class indicators and 49 third-class indicators. By applying the index system to evaluate the service effectiveness of digital reading promotion carried out by 5 university libraries included in the“double world-class project”in Guangdong province,it puts forward some suggestions for improving the service effectiveness of digital reading promotion in libraries.

To address the challenges posed by generative AI technologies,this paper develops and tests a governance framework based on endogenous security theory. The core of the framework is to integrate heterogeneous disinformation detection technologies,simulate human cognitive processes and decision-making mechanisms,build a heterogeneous component pool,and measure the change in disinformation detection accuracy rate under the endogenous security framework. The results indicate that the optimization and selection of algorithm combinations are crucial for improving the detection efficiency of the system. Based on the endogenous security framework,related strategies are proposed,such as establishing a mechanism to block the spread of disinformation to achieve proactive defense and response,and developing a governance toolkit to enhance detection effectiveness.

Among the large number of murals,painted sculptures,silk paintings and other works of art left in the Mogao Grottoes of Dunhuang,one can find some pictures on reading,which vividly depict Buddhist activities related to reading,such as listening to the Dharma,reciting sutras,preaching the Dharma and praying for the deceased,and artistically represent the reading and learning of people in the Middle Ages. The reading materials depicted in these images,mostly sutra scrolls written on paper,silk and other soft materials that essentially replace the bamboo and wooden slips in Han stone portraits,reflect the generational change in the form of books. The images of reading from the Dunhuang Mogao Grottoes,although clearly specific to Buddhism,demonstrate the popularity of reading and educational activities in the Middle Ages,and testify to the public reverence for knowledge and books in the Northwest region,providing an important way of understanding the history of books,reading and culture in this period.

Public demand plays a central role in the whole process of public digital cultural services （PDCS）. From the public's perspective,this article conducts semi-structured interviews with PDCS users in Fuzhou,Changsha,and Lanzhou,and analyzes the interview results using the grounded theory approach. The findings indicate that the process of public access to PDCS can be divided into three stages,namely cognitive acceptance,behavioral habit,and awareness driven,which are influenced by eight key factors,such as the sense of identity,conceptual cognition,access channel perception,infrastructure construction,digital platform development,public digital literacy,service supply,and feedback. The study suggests that it is necessary to effectively allocate PDCS resources to overcome the spatial constraints,scientifically plan the amount of PDCS,establish a comprehensive government-society collaboration model for PDCS,create a virtuous cycle of interactive supply in PDCS,and emphasize the supply of PDCS for the elderly to reduce inequality in the access to PDCS.

The rapid development of generative artificial intelligence （AI） technology has created new opportunities and challenges for higher education,and uviversity libraries need to adapt and respond to this situation. Using the Library of the University of California,San Diego （UCSD） as an example,this article explores the library’s strategies for dealing with generative AI,and identifies its drivers for change from the perspectives of resources,staff,users,and technology,through individual interviews,focus group interviews and a literature review. The study summarizes UCSD Library’s specific responses to generative AI,such as carlifying its role as a bridge,using LibGuides as a tool,systematically deepening AI+ services,training a learning team with AI skills,and exploring AI services in a win-win cooperation. The article suggests that university libraries should be rationally position themselves in the AI strategy,gradually deepen AI-related services,objectively evaluate the technological changes and attach great importance to librarians’AI literacy.

Large language models,with DeepSeek as a prime example,are creating new momentum for the high-quality,innovative development of library reference services,pushing them to new levels of intelligence and efficiency. By analyzing the technical principles of DeepSeek,this article explores the compatibility of integrating reference services with DeepSeek,and develops a DeepSeek-powered library reference service model. Based on the "resource-AI-user" reference service model,the study establishes a DeepSeek-powered library reference service system in accordance with functional modules and data flow,with an architecture of "data layer - model layer - application layer - user layer";and elaborates the operational mechanism of the system architecture in terms of service target and service process. It then explores the application workflow of DeepSeek-based library reference services;and addresses the challenges of technical support and practical implementation.

The “Frontier Dialogue on the High-Quality Development of New Reading Spaces” held an in-depth discussion on the proposition of high-quality development of new reading spaces. Based on a thematic analysis framework,this article summarizes the topics and content of the conference,such as exemplary practices and future prospects of new reading space development. Focusing on the experience of typical cases,it analyzes the successful factors behind the construction of new reading spaces; and explores the path of high-quality development of such spaces under the new circumstances of the 15th Five-Year Plan period.

In the era of digital intelligence,the massiveness and complexity of data is accelerating the move toward the computation of non-physical assets represented by knowledge services. Thus,creating a new model of knowledge services is of great significance to explore the potential value of data and improve the value of knowledge services. Drawing on relevant research in computational knowledge management science,this paper systematizes the concept of computational knowledge service by combining the characteristic attributes of multimodal data,computational technologies for knowledge externalization,and twin architectures of graphical systematization,to establish a computational knowledge service model and explore its logical approach. Building a computational knowledge service model with computable data and accessible services by integrating digital intelligence technologies is a feasible way to promote the dynamic transformation of “data-knowledge-service” with the support and guidance of “computing power-algorithm-demand”. The computational knowledge service model needs to be created systematically,focusing on perceived demand,computational intelligence,connection intelligence and perception intelligence. The development of intelligent knowledge service computing,intelligent knowledge service simulation and intelligent knowledge service experimentation can be a good response to the problems and challenges at different levels.

Under the background of digital transformation,the traditional social data resource guarantee institutions represented by libraries,archives and museums（LAMs） are expected to provide more fine-grained knowledge services. Data infrastructure,as a key factor in the utilization of data elements,is steadily making its way to knowledge organization and data management in the field of LAM. From the perspective of data infrastructure,this paper explores the differences and connections between different types of infrastructure through literature review and policy text analysis,and further deconstructs the conceptual meaning and development characteristics of integrated infrastructure. In the context of realities,the development philosophy of LAMs resonates well with the value of integrated infrastructure. As the policy environment and technologies in China continue to mature,data infrastructure is gradually being embedded into LAM institutions,which lays the foundation for LAMs to become a complete integrated infrastructure. The study attempts to propose a change orientation for LAMs in the process of becoming an integrated infrastructure.