10 March 2025, Volume 45 Issue 3
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LIBRARY TRIBUNE. 2025, 45(3): 1-12.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.
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LIBRARY TRIBUNE. 2025, 45(3): 13-22.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.
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LIBRARY TRIBUNE. 2025, 45(3): 23-32.Establishing a system to evaluate the international influence of Chinese scientific journals is good for their development into world-class publications. Using the methods of interview and statistical analysis,this paper develops an evaluation framework for assessing the international influence of Chinese scientific journals,conducts an empirical study on the system’s structural influence relationship,causal positioning and weighting,and examines the twelve journals funded by the Action Plan for Excellence in Chinese Science and Technology Journals. The proposed system consists of five evaluation dimensions,namely content leadership,credibility of publishing process,citation impact,social influence,and economic influence --- and fourteen evaluation indicators,including policy guidance,degree of open access,international citation impact factor,altmetrics,and international market behavior. Based on the evaluation results of international influence,the study identifies the challenges faced by the twelve journals in their quest to become world-class publications in terms of international influence and proposes some solutions according to the structural influence relationship of international influence.
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LIBRARY TRIBUNE. 2025, 45(3): 33-46.In order to effectively utilize the scientific knowledge contained in research papers and to address the problems of information overload and knowledge scarcity faced by the academic community,this article designs a knowledge representation and extraction framework for the full-text of scientific papers using semantic web technology and deep learning methods. First,an “argument structure-entity relationship” ontology for scientific papers is created from the perspective of sentence and entity. Then,a SciBERT-BiLSTM-Attention model is adopted to identify argumentation elements within scientific papers and the rule-based method is used to recognize entity relationships and their contexts. Finally,taking the papers in the field of Alzheimer’s disease as an example,the study develops an “argument structure-entity relationship” linked dataset,and demonstrates the knowledge service model through semantic retrieval,knowledge graphs,and argumentation relationship network. The experimental results show that the knowledge in the papers can be effectively represented and extracted by the above approach,and the dispersed scientific knowledge can be transformed into a semantic and structured knowledge network,which not only promotes the exchange and dissemination of scientific knowledge,but also contributes to the development of intelligent knowledge services.
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LIBRARY TRIBUNE. 2025, 45(3): 47-56.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.
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LIBRARY TRIBUNE. 2025, 45(3): 57-67.Personal archiving self-efficacy refers to people’s belief in their abilities or skills to perform personal archiving. Developing a robust self-efficacy scale to measure the main dimensions,levels and influencing factors of personal archiving self-efficacy can shed light on improving the efficiency of personal archiving. Based on the relevant studies and the authors’ previous research results,this paper presents a Personal Archiving Self-Efficacy Measurement Scale （PASES）. The optimized and revised scale has good reliability and validity,and can be used as a tool to measure personal archiving self-efficacy. Therefore,a survey is conducted in Kunming city to evaluate the personal archiving self-efficacy of the public. The study finds that the respondents’ overall personal archiving self-efficacy is at a moderate level （M=4.659）. It also shows that the personal archiving self-efficacy of women is stronger than that of men;the self-efficacy of the middle-aged group is the strongest and gradually decreases with increasing or decreasing age;the higher the level of education,the stronger the self-efficacy;the self-efficacy of those who have the habit of personal archiving,experience of searching and using the files in the archives,and have received archival education or training is significantly higher than that of those who do not have the above experiences. It is suggested that personal archiving abilities should be improved by providing archival literacy education,developing relevant guidelines and tools,and creating a platform for exchange.
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LIBRARY TRIBUNE. 2025, 45(3): 68-77.Revealing the status quo and problems of government information disclosure in new media in China,and developing a framework for studying its quality,can provide a reference for related research. Using the method of systematic review,this article examines the research on government information disclosure in new media based on 55 Chinese papers obtained through multi-layered screening,focusing on the year of publication,research objects,research topics,research contents and research approaches. The results show that there is no sustained attention to the quality of information disclosure,undiversified research objects and contents,limited research approaches,less effort to develop evaluation tools,and lack of strong theoretical foundation and innovation. Therefore,it develops a research framework for information disclosure quality of government new media. Follow-up studies should continuously focus on the quality of government information disclosure in new media and improve the diversity of research objects;enrich the research contents and analyze the problems based on the characteristics of new media;expand the research approaches and understand the perceptions and feelings of pluralistic participants by using interview and focus group methods;and attach importance to the development of evaluation tools,the study of basic theoretical issues and theoretical innovation.
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LIBRARY TRIBUNE. 2025, 45(3): 78-88.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.
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LIBRARY TRIBUNE. 2025, 45(3): 89-98.Smart data is an important means to solve the dilemma that current data resources in the field of cultural heritage are huge but not effectively utilized. This paper explores how the value of cultural heritage smart data can be gradually created in resource development and realized in smart services to activate the value of cultural heritage and promote the activation and utilization of cultural heritage resources. Looking at the projects related to the development of cultural heritage data resources and services at home and abroad,the paper examines the logic and path of cultural heritage value creation. Firstly,it clarifies the four core elements of value creation,namely,participants,data resources,data standards and supporting technologies. Secondly,it analyzes the value creation links of value activation,value aggregation,value mining and value release in the development process of cultural heritage intelligent data from digitization,datafication,intelligentization to contextualization. Finally,it explores the realization path of value creation of cultural heritage smart data from the perspective of resource development,service application and value expression,so as to promote the quality and efficiency of cultural heritage smart data.
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LIBRARY TRIBUNE. 2025, 45(3): 99-109.The high semantic complexity of allusions,imagery,and proper nouns in ancient poetry hinders the public's understanding of its meaning. To address this problem,this paper attempts to systematically analyze and categorize the complex semantic groups in ancient poems. With the text processing and information extraction capability of large language models,it integrates the knowledge from various dictionaries to build a knowledge base for ancient poem annotation,which is verified and applied in the automatic annotation and translation tasks of ancient poems. The experimental results indicate that the annotation knowledge base achieves an average macro-F1 score of 93.90% on the task of annotating five major semantic groups in ancient poems,outperforming the existing annotation schemes. The performance of AnnoKB_GLM,a domain-specific language model of ancient poetry obtained by pre-training with the knowledge base again,on machine translation tasks exceeds that of the existing general large language models of modern Chinese and the benchmark models of ancient Chinese texts,verifying the practical value of the annotation knowledge base.
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LIBRARY TRIBUNE. 2025, 45(3): 110-119.Through advanced semantic technology,this paper creates a new indexing system based on knowledge graph by effectively organizing,managing and applying the knowledge of the history of the Communist Party of China （CPC） to provide the function of searching and finding the CPC history knowledge,so as to improve the efficiency of knowledge retrieval. With an application study of the CPC history knowledge graph,it optimizes the tasks such as tokenization,synonym conversion,and semantic extension of retrieval statements,thereby providing efficient support for CPC history knowledge indexing. The effectiveness of the retrieval system is verified through the experimental analysis of tokenization and the comparative analysis of CPC history knowledge retrieval performance based on the knowledge graph. The study shows that with the structured semantics of knowledge graph,the system breaks through the traditional indexing method and fulfills the indexing tasks based on entities and relationships,which can provide users with more knowledge relevance and diversity in the process of information retrieval,and further improve the utilization efficiency of CPC history literature and related resources.
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LIBRARY TRIBUNE. 2025, 45(3): 120-129.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.
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LIBRARY TRIBUNE. 2025, 45(3): 130-140.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”.
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LIBRARY TRIBUNE. 2025, 45(3): 141-152.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.
