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。
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 "arti- cles 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.
出处
《图书情报工作》
CSSCI
北大核心
2014年第21期73-80,共8页
Library and Information Service
基金
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
关键词
共词分析
语义
细粒度
关联数据
co-word analysis
semantic
granularity
linked data