摘要： 提出一种综合的相似度计算方法，采用Hirst-St-Onge语义相关度算法，判断不同本体之间是否存在相关性，如果相关，则充分考虑概念的名称、属性、实例、关系。以MD3模型为基础，给出本体的综合相似度计算方法。采用2组测试数据进行实验对比，结果表明，扩展后的方法在查全率和查准率方面都优于MD3模型。

关键词: 本体, 本体映射, 概念相关度, 概念相似度

Abstract: This paper proposes a synthesized approach of similarity computation. It uses the Hirst-St-Onge semantic relativity algorithms to determine whether there is correlation among different domain ontologies. It takes account of the name, attributes, instances, relations of concepts and compares in many ways if it is relevant. A comprehensive similarity measuring method based on the MD3 model is proposed. It tests the method with two group data and then compares the results. Experimental results show that the approach is better than the MD3 model in recall rate and precision rate.

Key words: ontology, ontology mapping, concept relativity, concept similarity

中图分类号: 

• TP311