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25 February 2023, Volume 43 Issue 01
    

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  • The Connotation, System and Opportunity of Computational Humanities
    Huang Shuiqing Liu Liu Wang Dongbo
    Library & Information. 2023, 43(01): 1-11. DOI:10.11968/tsyqb.1003-6938.2023001
    Abstract ( ) Download PDF ( ) Knowledge map Save
    Computational humanities has experienced more than half a century of development, and it is urgent to gradually clarify and form norms in terms of nouns, definitions, and references, and to highlight the value and importance of computing in this interdisciplinary at the current stage of development. This article discussed several related expressions including digital humanities and computational humanities, and clarified the advantages of computational humanities as an expression. Focusing on the objects, issues and methods, with clarification on the subject connotation, this study analyzes the opportunities of computational humanities in national strategy, subject renaming of IRM, and new liberal arts construction. Taking computational linguistics, computational history, computational philology, and computational literature as examples, this article explained and formed a system of computational humanities as a discipline which is composed of many sub-disciplines in the form of "computational X", and each "X" can correspond to a specific disciplines in humanities.
  • Computational Linguistics in the Scope of Computational Humanities： Current Situation and Paradigm
    Bai Xiaopeng
    Library & Information. 2023, 43(01): 12-20. DOI:10.11968/tsyqb.1003-6938.2023002
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    In this article, we discuss the positioning of computational linguistics in the context of computational humanities. We focus on three main issues: the position of computational linguistics in the context of computational humanities, the research paradigm, and its relationship with other research fields in computational humanities. The term "computational humanities" clarifies the research paradigm in which the study of digital humanities solves research problems in the humanities with computational technologies. We find that current work in computational linguistics shows distinctly engineering character, treating language as data, with little work answering the research questions of linguistics. Although many scholars consider computational linguistics as one of the research directions in linguistics, we do not see many cases of using computational technology for linguistic (especially for Chinese language) research at present. Therefore, this paper proposes a computational linguistics research paradigm that uses computational techniques for linguistic research, using text readability work as an example. We believe that computational linguistics is no different from other research fields in computational humanities and should work under a unified research paradigm. Computational linguistics as a research method requires a balance between validity and interpretability. This is the positioning of computational linguistics in the framework of "humanities as the core and computation as the tool".
  • Finding a More True History: The Centennial Road and Time Mission of Chinese Computational Historiography
    Chen Jiajin Lu Yong
    Library & Information. 2023, 43(01): 21-30. DOI:10.11968/tsyqb.1003-6938.2023003
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    Under the wave of "information revolution", the impact on history is more thorough and revolutionary than any other era in the past. It is an irreversible trend for computational history to absorb the essence of information technology and show strong computing power. Where will historical research go? On the basis of concept discrimination, historical review and current situation analysis, the article concludes that: Chinese computational historiography has lasted for a hundred years since Liang Qichao initiated it. During this period, it has experienced at least several academic practices and schools such as statistical history, metrological history, information history, digital history, etc.. At present, the achievements of computational history focus on three aspects, including data integration and database, corpus and knowledge base construction and mining and analysis of historical text, visualization and GIS historical geographic information system. It should be noted that the so-called "prosperity" of computational historiography has a "foam" component. The superiority of "computing" technology is easy to forget its "double-edged sword" side, the weakening of human nature and humanistic spirit is also worrying. Only by constantly reshaping its own scientificity in the process of crossing, breaking through and self awakening, computational historiography can show its trend and future in the major of "grand history", learning of "overall history" and discourse of "Chinese history".
  • Concept, Category and Prospect of Computational Bibliography
    Library & Information. 2023, 43(01): 31-38. DOI:10.11968/tsyqb.1003-6938.2023004
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    Today, with the rapid development of artificial intelligence and information technology, major changes have taken place in the editions, catalogs, and collations of classical documents, as well as in the management and research of modern documents. The quantitative and visual analysis of digital content of paper documents has produced the research paradigm of digital bibliology and bibliometrics, and with the help of natural language processing technology, the annotation and automatic analysis of document content are also increasingly enriched. Document management and research with digital forms as the basic carrier and computational models as technical means has become a new trend and new normal state in the academic world. This paper proposes the concept of "computational bibliography" to name the new research method and paradigms of philology in the era of information and intelligence. Taking classical literature, we propose to use artificial intelligence technology for OCR, automatic sentence segmentation, punctuation, indexing, edition comparison, citation, and intelligent typesetting to perform a whole digital emendation and publishing process, which will greatly speed up the emendation and publishing of ancient books. Then, it is urgent to build knowledge bases of classical literature based on high-quality digital documents, and to apply the knowledge service method of big data to classical literature. Finally, through multidisciplinary collaboration, more interdisciplinary students need to be educated in the new era.
  • Concepts, Explorations and Trends of Computational Jurisprudence from the Perspective of Artificial Intelligence
    Zhang Ruixiang Zhao Zhixiao
    Library & Information. 2023, 43(01): 39-47. DOI:10.11968/tsyqb.1003-6938.2023005
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    Artificial intelligence and big data are reshaping not only human life but also academic research. Flourishing disciplines like computational social science, computational humanities, and "computational X" demonstrate this phenomenon. Computational Jurisprudence is also on the rise, as law has a strong practical aspect and has been intersecting with computation for a long time, going through various development stages such as Jurimetrics and Legal Informatics, and undergoing repeated debates in the academic community. The relevant concepts of Computational Jurisprudence have gradually been clarified, and with the establishment of the Computational Jurisprudence discipline in recent years, a major breakthrough has been achieved. With the support of a disciplinary foundation, Computational Jurisprudence no longer needs to constantly justify itself, and the academic community can now focus more on its practical effectiveness. To present the current research status of Computational Jurisprudence in China and predict its future prospects, a clustering analysis of recent domestic and foreign papers on Computational Jurisprudence was conducted. Finally, the important achievements of Computational Jurisprudence in the areas of data sets, algorithms, and applications were revealed, and future development trends were discussed.
  • Block Chain Empowerment Intelligent Intelligence Analysis Algorithm Risk Governance Mechanism
    Ma Haiqun Zhang Tao
    Library & Information. 2023, 43(01): 48-56. DOI:10.11968/tsyqb.1003-6938.2023006
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    The widespread application of artificial intelligence technology in intelligence analysis, it brings convenience to decision-making and services, but the risk problem brought by intelligent algorithms is also particularly prominent. The innovative research on the risk management mechanism of intelligent intelligence analysis algorithms is systematic, The main means of scientifically preventing and resolving the security risks brought by algorithms have important practical significance. The risks faced by intelligent intelligence analysis algorithms are studied and explained. the risk governance framework of blockchain empowerment intelligent intelligence analysis algorithms is analyzed from three perspectives: user level, mechanism level and process level. The risk of blockchain and intelligent intelligence analysis algorithms is combined to form a governance mechanism. Analyzes the core connotation of the mechanism from four aspects: the consensus agreement enabling algorithm risk early warning mechanism, the smart contract enabling algorithm risk monitoring mechanism, the incentive rule enabling algorithm risk autonomy mechanism and the time stamp enabling algorithm risk backtracking mechanism, aiming to provide decision-making and reference for the government and the intelligence work organization algorithm risk governance.
  • Intelligent Intelligence Analysis Algorithm Risk Governance Sustainable Strategy Modeling and Simulation
    Sun Qinying Wang Ying Jiang Lei Wang Hui Zhang Tao
    Library & Information. 2023, 43(01): 57-65. DOI:10.11968/tsyqb.1003-6938.2023007
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    In recent years, with the continuous rise of intelligent algorithms, the application of intelligent intelligence analysis to intelligence decision-making and services has gradually become a trend. At the same time, if there are security risks in intelligent algorithms in intelligence work, it will seriously affect social stability and even national security. Therefore, systematic and sustainable governance is the main means to prevent and resolve the risks of intelligent intelligence analysis algorithms, and has important practical significance. This paper constructs a dual-chain governance model of "alliance chain + private chain" through blockchain technology, and models and simulates the sustainability of risk governance of intelligent intelligence analysis algorithm from the perspective of dynamic game of "developer, third party and supervisor". The study found that improving the quality of developers' research and development is the root of risk governance of intelligent intelligence analysis algorithms, weakening the role of the third party and gradually strengthening its deterrent effect on developers, and regulators establishing reasonable incentive rules can make governance reach the optimal strategy. It aims to seek the best algorithmic risk governance strategy, and then achieve the goal of maximizing governance costs and benefits.
  • The System Dynamics Study of the Influencing Factors of Risks in Algorithmic Recommendation——From the Collaborative Perspective of Policy and Scientific Research Topics
    Cui Wenbo Zhang Tao Sun Qinying Ma Haiqun
    Library & Information. 2023, 43(01): 66-76. DOI:10.11968/tsyqb.1003-6938.2023008
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    As an important application scenario in intelligent intelligence analysis, personalized and precise information services provided by algorithm recommendation add value to modern fast decision-making, but the problem of algorithm recommendation risk is also particularly prominent. Exploring the influencing factors of algorithm recommendation risk is crucial to scientifically proposing algorithm risk governance strategies, so this study has important practical significance. This paper using the LDA model for research paper topic clustering, clustering results should be compared with the "Regulations on the Recommendation Management administration of Internet Information Service Algorithms" for similarity calculation, to identify the risk influencing factors of algorithm recommendation, the system dynamics model is constructed from two dimensions of risk generation and risk governance, and then use Vensim PLE calculation software and text data to analyze simulation and sensitivity. Identify algorithm literacy, big data technology, and algorithm of prejudice, network security, and other factors, for the calculation of the data obtained through the calculation of the text to a better fitting method recommended management reality, and put forward the following suggestions based on sensitivity analysis: strengthen algorithm literacy education, to improve personal privacy protection awareness; Establish the whole process supervision mechanism of the algorithm to improve the interpretability of the algorithm; We will establish an "institutional and technological governance" mechanism to improve the platform's ability to prevent risks.
  • Cyber-informatics and Its Research Advances in Knowledge Discovery 
    Wu Ruimin Zhang Zhiqiang
    Library & Information. 2023, 43(01): 77-89. DOI:10.11968/tsyqb.1003-6938.2023009
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    In the big data era, the rapid development of new frontier technologies has put forward new requirements for the development of webometrics. So,we put forward a new concept here under the framework of the"subject-informatics"，which is"cyber-informatics". Starting from the background of the rise of cyber-informatics, this paper introduces the development process from webometrics to cyber-informatics. Secondly, the definition, data basis and key theories and methods of cyber-informatics are clarified. Finally, the research advances of knowledge discovery in interdisciplinary field, academic influence and competitiveness evaluation of cyber-informatics is analyzed.Cyber-informatics is a subject of network data mining and knowledge discovery in the era of network big data, and a supporting subject of the new paradigm of network information research. However, there are still some key problems, such as the quality control of big data and the development of specialized technical tools. With the further development of cyber-informatics, the knowledge base of network big data, the specialized technical tools of cyber-informatics and its application fields will be vigorously developed in the future.In addition cyber-informatics may become the leading subject of subject-informatics.
  • Predictions of Users’ Note-taking Behavior in Query Segments
    Song Xiaoxuan Liu Chang
    Library & Information. 2023, 43(01): 90-100. DOI:10.11968/tsyqb.1003-6938.2023010
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    Note-taking behavior is often regarded as one of the important external representations of information use activities in the completion of search tasks, especially learning-related search tasks. In this study, we conducted a user experiment to investigate whether and when users' note-taking behavior occurs through the search activities in each query segment. The results indicate that combining users' dwell time on content pages and Activity Transition (AT) features resulted in prediction accuracy of 86.9%. Furthermore, this study also found that a Hidden Markov Models (HMMs) was able to identify note-taking behavior in real time with good performance, especially in the first query segments in each search session, with the accuracy of 76.65%. These findings provide the effective approaches for real-time monitoring of users' note-taking behavior based on search activities, and contribute to the design of search systems that better support note-taking behavior and task completion during search.
  • A Study on Domain Knowledge Services for User Health Empowerment
    Ma Haiyun Yang Xinyi
    Library & Information. 2023, 43(01): 101-109. DOI:10.11968/tsyqb.1003-6938.2023011
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    Current research on user health empowerment mainly focuses on the influence of users' attributes and external factors on their empowerment, but knowledge services as one of the important ways to empower users have rarely been mentioned. This paper aims to develop a health domain knowledge service model based on user health empowerment, to empower users to manage their health conditions and participate in decision-making on health issues. Based on the current research on user health empowerment and health domain knowledge services, we propose a user classification based on knowledge needs and construct a corresponding knowledge provision model by clarifying the objectives of user health empowerment-oriented knowledge services; secondly, we portray the change process of users' health knowledge reserves in the process of searching for health information and point out that the types of knowledge need to which users belong will change as the search process progresses. Finally. The matching process between users' expressed knowledge needs and knowledge resources is given, and a health domain knowledge service model for users' health empowerment is constructed.
  • Data-driven Modernization of University Library Governance:Logic,Framework and Limits
    Zhao Fazhen Niu Yong
    Library & Information. 2023, 43(01): 110-118. DOI:10.11968/tsyqb.1003-6938.2023012
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    In order to promote the modernization of university library governance in my country, get rid of path dependence, and realize transformation and transcendence, it is of great practical significance to examine relevant issues with technical logic. From the perspective of national governance modernization, this paper analyzes the dual dimensions of university library governance system and governance capacity modernization, explores the logical process of data-driven university library governance modernization, and proposes and analyzes the development framework and application of data-driven university library governance modernization. limit problem. Research shows that, driven by data, algorithms, computing power and arithmetic constitute the computing dimension for understanding the modernization of library governance. The agenda and operation plan for the modernization of library governance are established through calculation, and the library system and mechanism, organizational structure, method and process, subject relationship, and scientific decision-making are promoted to achieve overall intellectual governance. At the same time, we need to be alert to the dilemma of data worship in the process of library governance, and pay more attention to the coupling problem between library dataization and library governance.
  • Research on Barrier Free Service of Public Library Health Information for Vulnerable Groups
    Liu Yiming Ji Xiaoqiong
    Library & Information. 2023, 43(01): 119-128. DOI:10.11968/tsyqb.1003-6938.2023013
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    Comply with the development strategy of a healthy China, safeguard the cultural rights and interests of vulnerable groups, explore the development status of health information services for vulnerable groups in public libraries at home and abroad, and provide theoretical support and practical solutions for public libraries to provide accessible health information services for vulnerable groups. This paper uses the network survey method and literature survey method to compare and analyze the relevant research literature on health information services for vulnerable groups at home and abroad, analyze the problems existing in public libraries in providing barrier free health information services for vulnerable groups from five aspects of service subject, service object, service content, service mode and service guarantee, and put forward targeted suggestions. The public library fully grasped the needs of various types of vulnerable groups, and improved the level and quality of health information service in the public library through four aspects: building multi subject cooperation, enriching health information service resources, innovating health information service methods, and improving health information service guarantee, so as to promote the high-quality development of health information service in the library.
  • Research on the Construction of Reading Service Mode from the Perspective of Meta Universe
    Wu Ruohang Chu Jiewang
    Library & Information. 2023, 43(01): 129-137. DOI:10.11968/tsyqb.1003-6938.2023014
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    In order to accelerate the reform and optimization of reading services and meet the new reading needs of readers, this article combines the relevant concepts and technologies of the meta universe, and looks forward to its future application scenarios based on the analysis of the development environment of the meta universe enabled reading services, so as to build a meta universe reading service model. The research found that the universe reading service mode mainly revolves around four links: subject collaboration, object portrait analysis, equipment and software support, and rule guarantee operation, so as to realize the reform of the future reading service.
  • Strategy and Approach for Library to Improve Digital Equity
    Ji Wei
    Library & Information. 2023, 43(01): 138-144. DOI:10.11968/tsyqb.1003-6938.2023015
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    On Nov. 15th of 2021, the American President Biden signed Infrastructure Investment and Employment Act in which more than one trillion dollars were allocated. On Oct. 26th of 2022, American Library Association issued a report Leverage Libraries to Achieve Digital Equity for All, in which the developing opportunities brought to libraries by the Act were analyzed, practices to improve digital equity in various libraries were introduced, and suggestions were put forward for library to take part in the realization of digital equity in the background of the Act. The inspiration we can get from the report is that in order to improve digital equity, our libraries can seek policy support; the associations can be the leaders to unite various libraries and to bridge the digital divide from the point of people's livelihood.
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