Analysis of an Iterative Algorithm for Term-Based Ontology Alignment

Shisanu Tongchim, Canasai Kruengkrai, Virach Sornlertlamvanich, Prapass Srichaivattana, and Hitoshi Isahara

Abstract

This paper analyzes the results of automatic concept alignment between two ontologies. We use an iterative algorithm to perform concept alignment. The algorithm uses the similarity of shared terms in order to find the most appropriate target concept for a particular source concept. The results show that the proposed algorithm not only finds the relation between the target concepts and the source concepts, but the algorithm also shows some flaws in the ontologies. These results can be used to improve the correctness of the ontologies.

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Canasai Kruengkrai