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领域知识演化分析方法综述

Data Analysis and Knowledge Discovery A Review on Methods for Domain Knowledge Evolution Analysis
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摘要 【目的】领域知识演化分析是图书情报学界长期关注的一个重要研究问题。本文对国内外有关领域知识演化分析方法的研究进行总结梳理,为后续的相关研究提供参考。【文献范围】利用领域知识演化的关键词在CNKI和Web of Science中检索,并对检索结果进行人工判读和分析,选取与领域知识演化分析方法密切相关的84篇重点文献进行综述。【方法】通过回顾研究文献,对领域知识演化的相关概念进行辨析,在此基础上将现有的领域知识演化分析方法分为基于引用、基于结构和基于内容的三类。在对每类分析方法梳理过程中,首先辨析该类方法的理论依据,然后阐述该类方法的基本分析思路并介绍相关进展,最后对现有的领域知识演化分析方法进行总结和展望。【结果】现有的三类领域知识演化分析方法依托于各自的科学理论,借助技术的进步和数据资源的完善,不断深化改进演化分析的思路框架;虽然取得了丰富的研究成果,但并没有在知识演化分析的研究角度上产生突破,无法根本性地解决当前研究视角下的局限性。【局限】基于筛选后的文献进行综述分析,可能未全面覆盖相关的研究工作。【结论】领域知识演化分析的未来研究中有以下两个方向值得重点关注:一是尝试拓展新的领域知识演化分析切入点,二是尝试交叉融合已有的研究方法以改善现有分析方法下的局限。 [Objective]Domain knowledge evolution analysis has been a long-standing research topic in the field of Library and Information Science.This paper provides a comprehensive review of the research methods related to the domain knowledge evolution analysis,both nationally and internationally,aiming to offer valuable references for future studies in this area.[Coverage]We conducted searches in CNKI and Web of Science using keywords related to domain knowledge evolution.The search results were manually evaluated and analyzed,and a total of 84 key literatures closely related to the methods of domain knowledge evolution analysis were selected for review.[Methods]By reviewing the research literature,we clarified the relevant concepts of domain knowledge evolution.Based on this,we classified the existing domain knowledge evolution analysis methods into three categories:citation-based,structure-based and content-based.For each category,we first elucidated the theoretical basis,then explained their basic analytical frameworks and highlighted the relevant advances.Finally,we summarized the existing methods of domain knowledge evolution analysis and provided perspectives.[Results]The three categories of existing methods for domain knowledge evolution analysis rely on their respective scientific theories.With the advancement of technology and the improvement of data resources,these methods are continuously deepening and improving the analytical framework for the study of evolution.Although significant research achievements have been made,there has been no breakthrough in the research perspective of knowledge evolution analysis,and the limitations within the current research paradigm remain unresolved.[Limitations]The review analysis was based on selected literature,which may not have comprehensively covered all relevant research.[Conclusions]Based on the summary and analysis of the current research,we believe that the following two directions are worth focusing on in the future research on domain knowledge evolution analysis:first,exploring new entry points for domain knowledge evolution analysis,and second,attempting to integrate existing research methods to improve the limitations of current analytical approaches.
作者 李雪思 张智雄 王宇飞 刘熠 Li Xuesi;Zhang Zhixiong;Wang Yufei;Liu Yi(National Science Library,Chinese Academy of Sciences,Beijing 100190,China;Department of Information Resources Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China)
出处 《数据分析与知识发现》 EI CSCD 北大核心 2024年第1期1-15,共15页 Data Analysis and Knowledge Discovery
基金 国家社会科学基金重大项目(项目编号:21&ZD329) 国家科技图书文献中心“NSTL语义内容检索和分析示范平台”(项目编号:2023XM21)的研究成果之一。
关键词 领域知识 知识演化 演化分析 Domain Knowledge Knowledge Evolution Evolutionary Analysis
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