共词分析方法的细粒度化与语义化研究

Research on Fine-granularity and Semantization of Co-word Analysis

针对共词分析方法存在的词对共现统计粒度过粗、共词分析结果解释不一致等问题，本文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，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，将共现词对的语义信息融入到共词分析过程之中。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 indexes and the cognitive problems concerning interpretation in co-word analysis, this paper proposed a fine-grained semantic co-word analysis method. In order to realize the fine-grained semantic co-word analysis, on the one hand, the statistic unit of the co-words is changed from ＂articles unit＂ to ＂knowledge （RDF） unit＂; on the other hand, semantic of co-word is integrate into the method. At last, this paper analyzed the soundness of the proposed method through experiment in the research field of linked data.