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作 者:苏新宁[1] Su Xinning(School of Information Management,Nanjing University,Nanjing 210023)
出 处:《情报学报》2022年第9期889-899,共11页Journal of the China Society for Scientific and Technical Information
基 金:国家社会科学基金重点项目“大数据环境下领域知识加工与组织模式研究”(20ATQ006);湖湘高层次人才聚集计划项目“湖南科技情报服务创新研究群体”(2021RC5029)。
摘 要:知识组织是资源建设的基础和重要工作,它对知识服务效能、知识再生产、资源价值体现等有着极其重要的作用。本文针对知识组织领域关注的问题,从知识组织理论、知识组织方法、知识组织应用三个方面分析了当前领域知识组织的研究进展,阐述了领域知识组织的四个方面研究内容:领域知识组织理论研究、领域知识结构认知研究、领域知识组织方法研究、领域知识组织模式研究;并详细指出了研究中应关注的问题:领域知识组织的理论要聚焦知识分类、主题聚类和语义网相关理论研究,领域知识结构认知要从分类体系和主题关联两个方面去解析领域的认知结构,领域知识组织方法要加强知识关联、知识聚类、语义网等知识组织方法的研究,领域知识组织模式要探索分类组织、主题聚类、语义关联的知识组织模式研究。最后强调,未来的知识组织研究与实践将会在融合(多种类型数据)、语义(跨属性的数据)、动态(即时知识关联)、跨平台(不同的系统、不同的数据库)等方面走得更远。Knowledge organization is the basis of resource construction.It plays an important role in knowledge service efficiency,knowledge reproduction,and resource value reflection.Aiming to resolve concerns in the field of knowledge organization,this study analyzes the current progress of domain knowledge organization from the perspective of knowledge organization theories,methods,and applications.It also elaborates on the research content of domain knowledge by considering the aspects of organization theories,cognitive structures,organization methods,and organization patterns.Notably,this study attempts to solve the current problems in this field by focusing on the theory of domain knowledge organization in relation to knowledge classification,topic clustering,and semantic web;parsing the cognitive structures of domain knowledge from the perspective of classification systems and thematic relevance;advancing domain knowledge organization methods through research on knowledge correlation,knowledge clustering,and semantic web;and exploring domain knowledge organization pattern via knowledge organization patterns of classification organization,topic clustering,and semantic association.Finally,it recommends future research and practice on knowledge organization to further examine the aspects of integration(of multi-type data),semantics(of multi-attribute data),dynamics(of real-time knowledge association),and cross-platform(of systems and databases).
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