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基于词词关联矩阵改进的模糊检索研究——模糊语词转模糊概念检索方法探究
引用本文:李纲,叶光辉.基于词词关联矩阵改进的模糊检索研究——模糊语词转模糊概念检索方法探究[J].图书情报工作,2013,57(21):104-111.
作者姓名:李纲  叶光辉
作者单位:武汉大学信息资源研究中心
基金项目:本文系国家自然科学基金资助项目“科研团队动态演化规律研究”(项目编号:71273196)研究成果之一。
摘    要:语义网的发展为模糊语词转模糊概念检索提供了可能,鉴于词表在模糊检索系统中的主导地位,实现模糊概念检索必须先完成词表向本体的转换。在综合分析和评价已有转换方法的基础之上,提出综合转换法。该方法继承间接转换法规范的概念抽取及关联设计规则,又通过综合评议和词信息量、词间关联度、文档频率等参数的算法设计改变了直接转换法过于程式化的处理方式。最终将词词关联矩阵转换为概念矩阵,叙词表升级为本体库,并在现有检索算法的基础上设置了检索原子与概念的映射关系,以实现概念检索。

关 键 词:概念检索  本体  词间关联度  词信息量  
收稿时间:2013-09-19

The Research of Fuzzy Retrieval Based on Improved Keyword Connection Matrix:A Study on the Fuzzy Retrieval Transformation from Keyword to Concept
Li Gang,Ye Guanghui.The Research of Fuzzy Retrieval Based on Improved Keyword Connection Matrix:A Study on the Fuzzy Retrieval Transformation from Keyword to Concept[J].Library and Information Service,2013,57(21):104-111.
Authors:Li Gang  Ye Guanghui
Institution:Center for the Studies of Information Resources of Wuhan University, Wuhan 430072
Abstract:With the development of semantic network, it gets possible to transform vocabulary into ontology. Due to the leading status of vocabulary in fuzzy retrieval system, the transformation must be implemented before fuzzy concept retrieval. Based on the existing methods, this paper puts forward an integrated method, which refers to indirect conversion method's rules of concept extraction and correlation design, and also changes over-stylized processing mode of direct conversion method through comprehensive evaluation and the algorithm design with parameters: term information content, term-term relative value, and document frequency. Finally, concept matrix is changed into keyword connection, thesaurus is upgraded to ontology base, fuzzy concept retrieval can be realized after debugging mapping relationship between retrieval atomic and concept on the basis of the existing algorithm.
Keywords:concept retrieval  ontology  term-term relative  value term information content  
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