A Vector Based Method of Ontology Matching
Zahra Eidoon, Nasser Yazdani, Farhad Oroumchian · Third International Conference on Semantics, Knowledge and Grid (SKG 2007) · 2007
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.