A Vector Based Method of Ontology Matching

摘要：

Semantic interoperability is highly influenced by similarities and differences which exist between ontologies. Ontology matching as a solution for finding corresponding concepts among ontologies has emerged to facilitate semantic based negotiations of applications. This paper presents a method of ontology matching which is based on vectorizing ontologies and estimating their similarity degree. A post processing with two heuristic rules also has been employed to improve the results. The proposed method is successfully applied to the test suit of Ontology Alignment Evaluation Initiative 2005 10 and compared to results obtained by other methods. In general the preliminary results are encouraging and we will continue with the results of some other ontology matchers.

作者: Zahra Eidoon Nasser Yazdani Farhad Oroumchian

作者单位: ECE Department,University of Tehran,Tehran, Iran University of Wollongong, Dubai;POBox 20183, Dubai, UAE

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）