会议论文

Research on fine-grained semantic co-word analysis

中文

2014

1-14

第四届全国情报学博士生学术论坛

第四届全国情报学博士生学术论坛论文集

2014-09-01

长春

吉林大学管理学院

本校为第一机构

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,本文提出一种细粒度语义共词分析方法.该方法首先借助关联数据将文献信息结构化、细粒度化、语义关联化;而后以关联数据为基础进行共词分析,不仅能真正揭示共现关健词对真实的语义关系及其类型，而且能够反映它们之间的关联强度。最后，本文借助该方法进行了实证研究，并在一定程度上验证了该方法的科学性和有效性。

　　in view of the problems of keywords and indexes used in co-word analysis,this paper proposed a fine-grained semantic co-word analysis method.Firstly,the technique of linked data is used to make non-structured information structured,fine-grained and semantic; Then,co-word analysis is implemented based on the linked data,which not only can reveal the semantic relationship and relationship type of co-word,but also can reflect the strength of the association between them; At last,this paper analyzed the soundness of the proposed metho...