Semantic Conflict Resolution Method by Applying Ontology and Tree

Semantic information integration aims to shield semi-structured heterogeneous and distributed data,and to provide users with a wider range of precise data sharing.In order to solve the semantic conflict of information integration,Ontology is used to describe global data concept,and tree structure is employed to describe the concept of the local data.The logic definition method of the data is proposed and adopted.The similarity is used to calculate for data matching semantic integration in the match.And the homologous mapping algorithm of semantic information integration is defined.Experimental results verify the correctness of this method.