基于本体和树形结构的语义信息集成研究

语义信息集成是目前屏蔽数据之间半结构性、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,并描述了语义信息集成中的映射算法。最后,给出了实验数据和算法执行结果,验证了此方法的正确性。

Research on Semantic Information Integration Based on Ontology and Tree

The main purpose of semantic information integration is to maximize the shield semi-structured data, heterogeneous and distributed, to provide users with a wider range of data sharing. In order to solve the semantic conflict of information integration, the paper uses ontology describe global data concept, employs tree structure describe the concept of the local data. on above-mentioned, the paper gives the logic definition method of the data, adopts the similarity values calculated for data matching Semantic integration in the match, and defines the homologous mapping algorithm of semantic information integration. In the end, experimental results verify the correctness of this method.