基于语义的共词分析方法研究  

Research on the Semantic-based Co-word Analysis

作　　者：李纲[1] 王忠义[1] 

机构地区：[1]武汉大学信息管理学院,武汉430072

出　　处：《情报杂志》2011年第12期145-149,共5页Journal of Intelligence

基　　金：国家自然科学基金"文本集特征提取方法及应用研究"(编号:70673070);中央高校基本科研业务费专项资金资助研究成果之一

摘　　要：首先对共词分析法中存在的问题进行了分析,指出解决共词分词法中存在问题的关键在于将专家知识集成到共词分词法中;为实现共词分词过程中专家知识的集成,提出一种基于语义的共词分析法,该方法利用主题图来描述专家知识,以该主题图为指导进行共词分析,能有效克服共词分词中存在的问题;最后,本文以人际情报网络这一研究领域作为实现对象,验证了该方法的科学性和可行性。This paper first analyzed the existing problems in the co-word analysis and pointed out that the solution to them lied in the integration of experts＇ knowledge into it. To integrate experts＇ knowledge, this paper proposed a novel co-word analysis method based on semantic. The method proposed used topic map which described experts＇ knowledge to direct the process of co-word analysis and could effectively solve the existing problems. At last, this paper analyzed the soundness of the proposed method through experiment in the research of human intelligence network.

关 键 词：共词分析 主题图 人际情报网络 

分 类 号：G353.1[文化科学—情报学]