期刊文献+

基于文献内容和链接融合的知识结构划分方法研究进展 被引量:7

Progress in Research on Intellectual Structure Division Method Based on Fusion of Document Content and Link
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摘要 知识结构划分是确定研究主题、发现新兴研究领域和识别重点研究内容的一个重要方法。本文把从文献内容特征和文献链接信息融合的新知识结构划分方法的研究进行了梳理,从数据库扩展的原始级信息融合、文本挖掘和文献计量方法结合、词汇引用图和词参考文献共现4个层面对当前的知识结构融合方法进行了综述,分析了它们的主要研究内容和方法,并对目前知识结构划分的聚类方法进行了综合研究,以期从更加新的视角对知识结构划分研究提供新的研究思路。 Division of intellectual structure is an important method to determine research topics,find emerging research fields and identify key research content.This paper reviews the researches on the new intellectual structure division method which fuses the features of document content with the information of document link,summarizes the present intellectual structure fusion method in terms of the elementary information fusion to expand the database,the combination of text mining and bibliometrics,the term citation graph and the word reference co-occurrence,and analyzes their main research content and method.The paper also makes a comprehensive study of the present clustering method to divide intellectual structure in an attempt to provide a new research thinking for intellectual structure division from a newer angle of view.
出处 《情报理论与实践》 CSSCI 北大核心 2010年第4期124-128,共5页 Information Studies:Theory & Application
关键词 文献内容 信息融合 知识结构 研究进展 document content information fusion knowledge structure research progress
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参考文献23

  • 1JANSSENS F. Clustering of scientific fields by integrating text mining and bibliometrics [ D ]. Faculty of Engineering, K. U. Leuven (Leuven, Belgium), 2007.
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二级参考文献33

  • 1赵悦阳 ,崔雷 .专题文献的同被引聚类分析在表现学科专业发展历史的可靠性评价[J].情报学报,2005,24(4):414-421. 被引量:15
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