情报研究

细粒度语义共词分析方法研究

  • 王玉林 ,
  • 王忠义
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  • 1. 武汉大学信息资源管理研究中心;
    2. 华中师范大学信息管理学院
王玉林,武汉大学信息资源管理研究中心博士研究生

收稿日期: 2014-08-28

  修回日期: 2014-10-10

  网络出版日期: 2014-11-07

基金资助

本文系国家社会科学基金项目"基于关联数据的数字图书馆多粒度集成知识服务研究"(项目编号:14CTQ003)研究成果之一。

Research on Fine-grained Semantic Co-word Analysis Method

  • Wang Yulin ,
  • Wang Zhongyi
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  • 1. Center for Studies of Information Resources, Wuhan University, Wuhan 430072;
    2. School of Information Management, Central China Normal University, Wuhan 430079

Received date: 2014-08-28

  Revised date: 2014-10-10

  Online published: 2014-11-07

摘要

针对共词分析方法存在的共现词对的"同量不同质"问题、共词分析结果解释的"不一致"问题等,提出一种细粒度语义共词分析方法。该方法一方面对词对共现统计单元进行碎片化处理,由"文献单元"变为"知识单元"(RDF三元组),达到细粒度的目的;另一方面对共词分析方法进行语义化处理,将共现词对的语义信息融入到共词分析过程之中。最后,借助该方法进行实证研究,并在一定程度上验证该方法的科学性和有效性。

本文引用格式

王玉林 , 王忠义 . 细粒度语义共词分析方法研究[J]. 图书情报工作, 2014 , 58(21) : 73 -80 . DOI: 10.13266/j.issn.0252-3116.2014.21.011

Abstract

In view of the problems in co-word analysis method such as the different quality with the same quantity and the difference of result explanation, this paper proposes a fine-grained semantic co-word analysis method. In order to realize the fine-grained semantic co-word analysis, on one hand, the statistic unit of the co-words is segmented from "articles unit" to "knowledge (RDF) unit"; on the other hand, the co-word analysis method is semanticized and the co-word semantic information is integrated into the analyzing process. At last, this paper verifies the scientificity and effectiveness of the proposed method through experiment.

参考文献

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