语义信息集成中概念匹配的研究

摘要

The purpose of semantic information integration,which is the main means at present to screen the semi-structured,heterogeneous and distributed data,is to provide users with the maximum range of precise data to use.In this paper,in order to solve the semantic conflict in information integration,we use ontology to describe global data concept,use tree structure to describe local data concept,and on this basis,we present the logic definition method of the data,use the calculated similarity matching values to realise semantic integration data matching,and define the description of mapping algorithm in semantic information integration.In end of the article,we give the experimental data and the implementation results of the algorithm,which verify the correctness of the method.%语义信息集成是目前屏蔽数据之间的半结构性、异构性和分布性的主要方法,其目的是为用户提供最大范围的精确数据.以解决信息集成中的语义冲突为目的,采用本体描述全局数据概念,树型结构描述局部数据概念,在此基础上,给出数据的逻辑定义方法,利用相似度计算匹配值来实现数据在语义集成中的匹配,并定义语义信息集成中映射算法的描述.最后,给出实验数据和算法执行的结果,验证了该方法的正确性.