尚渡新,袁润,夏翠娟,刘桂锋.关联数据在知识库中应用的研究综述[J].数字图书馆论坛,2022,(3):22~31 |
关联数据在知识库中应用的研究综述 |
Review on the Application of Linked Data in Knowledge Base |
投稿时间:2022-03-04 |
DOI:10.3772/j.issn.1673-2286.2022.03.003 |
中文关键词: 关联数据;知识库;知识组织;知识管理 |
英文关键词: Linked Data; Knowledge Base; Knowledge Organization; Knowledge Management |
基金项目:本研究得到江苏省研究生科研与实践创新计划“基于本体自增长模型的农业机械知识服务平台研建”(编号:KYCX21_3319)资助。 |
作者 | 单位 | 尚渡新 | 江苏大学科技信息研究所 | 袁润 | 江苏大学图书馆 | 夏翠娟 | 上海图书馆 | 刘桂锋 | 江苏大学图书馆 |
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中文摘要: |
近年来关联数据在知识库中得到广泛应用。本文对关联数据在知识库中的研究现状进行系统分析和梳理,并总结关联数据在知识库的知识源、可视化和语义化3个方面的重点应用,探讨关联数据应如何更好地促进知识库的建设以满足用户的知识需求,进而指出关联数据在知识库的诸多领域皆有研究,但相关项目未能充分发挥关联数据的特点,存在过度依赖叙词表、忽视学科交叉等问题,后续研究需要在构建理念、知识集关联、知识领域融合和构建目标方面增加关注度。 |
英文摘要: |
In recent years, linkeded data has been widely used in knowledge base. This paper systematically analyzes and combs the research status of linkeded data in knowledge base, summarizes the key applications of linkeded data in the knowledge source, visualization and semantics of knowledge base, and discusses how the linkeded data can promote the construction of knowledge base to meet the user’s knowledge demand. At last, it is pointed out that linked data has been studied in many fields of knowledge base, but related projects fail to give full play to the characteristics of linked data, and there are problems such as over-reliance on thesaurus and neglect of interdisciplinary, etc. Subsequent research needs to pay more attention to concept construction, knowledge set association, knowledge domain fusion and goal construction. |
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