摘要： 针对概念语义相似度度量问题，提出结合基于图理论和信息量2种方法的语义相似度度量算法。计算2个概念在概念图中连接的路径长度、局部密度以及在连接2个概念之间的路径上连接关系的连接力度，结合连结路径权重和信息量来度量概念之间的语义相似度。实验结果表明，该算法能取得较好的度量效果。

关键词: 本体, 语义相似度, 信息量

Abstract: This paper proposes a new measure which combines the graph-based measure and information content-based measure. The measure computes the path length of the two concepts in the concept graph, local density and the connect power of the edge, and integrates them with edge weight and information content. Experimental result indicates the measure performs well.

Key words: ontology, semantic similarity, information content

中图分类号: 

• TP311