Concept similarity evaluation is widely used in concept classification, concept gathering and concept merging. Previous single-ontology-oriented models were centered on matched concept characteristics and semantic analysis. Since they did not take enough factors into consideration, the obtained results were inaccurate, therefore of less value for exploring relations among concepts. This paper makes the matched concept characteristics more complete, takes characteristics which are not processed among concepts as similarity, assigns different weights ac-cording to the semantic hierarchy of the concepts, and proposes an improved concept similarity calculation model with high precision. Experimental results show that the improved model is more accurate.%概念相似度评估广泛应用于概念分类、概念聚合、概念合并等工作中.以往面向单本体概念相似度计算模型的工作虽然集中在概念特征匹配和语义分析之上,但考虑的要素单一或考虑要素的内容不全,所以计算结果精度不高,不利于概念关系的深层挖掘.该文完善概念的共性匹配,把概念间同时不具备的特征作为共性的一部分,并对概念格中不同层次的语义特征进行加权,从而提出一种具有高精度的面向单本体的概念相似度计算模型.实验数据表明该模型具有较高的精度.
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