基于语义距离的共词方法改进研究

摘要/Abstract

摘要：

文章旨在改进共词分析方法，提出基于语义距离的共词分析法，通过领域本体进行概念映射，并基于领域本体计算语义距离，将语义距离与映射后的概念矩阵进行融合，从而改进共词分析方法。通过方法原理探讨与实证分析表明，基于语义距离的共词分析法，在矩阵维度和聚类效果维度上，均有所改善，并能够从内容上更好地揭示领域的研究现状。

关键词:

共词分析, 语义距离, 概念映射, 语义矩阵

Abstract:

The authors try to improve the method of co-word analysis in this paper based on semantic distance. The paper adopts both semantic distance measure and concept matrices which generate from ontology-based concept mapping and semantic distance measure. It makes useful implications for coword
analysis based on semantic distance, and reveals the research situation preferable in terms of matrix dimensions and clustering results.

Key words:

Co-word Analysis, Semantic distance, Concept mapping, Semantic matrices

冯佳张云秋. 基于语义距离的共词方法改进研究[J]. 图书馆杂志, 2017, 36(7): 66-73.

Feng Jia, Zhang Yunqiu. Improving the Method of Co-word Analysis Based on Semantic Distance[J]. Libraly Journal, 2017, 36(7): 66-73.

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