关键词: 本体匹配, 概念相似度, 分类, 机器学习

Abstract: Ontology matching is one of the main methods to slove the problem of ontology heterogeneous.An efficient and precise similar messure is a pre-requisite of an ontology matching process.The paper affords an improved method to solve the complexity and impreciseness of the traditional similarity in ontology mapping.Firstly，the candidate matching set is established through classifying the ontology so as to reduce the amount of computation.Secondly，an integrated approach of based-instance computation，based-attribute computation，based-structure computation is designed to compute the concept similarity.Lastly，experimental results are given to demonstrate the effectiveness of the matching approach

Key words: ontology matching, concept simlarity, classify, machine learning