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Ontology Mapping using Semantic Relationship Set of the WordNet  

Kwak, Jung-Ae (이화여자대학교 컴퓨터공학과)
Yong, Hwan-Seung (이화여자대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Databases / v.36, no.6, 2009 , pp. 466-475 More about this Journal
Abstract
Considerable research in the field of ontology mapping has been done when information sharing and reuse becomes necessary by a variety of ontology development. Ontology mapping method consists of the lexical, structural, instance, and logical inference similarity computing. Lexical similarity computing used in most ontology mapping methods performs an ontology mapping by using the synonym set defined in the WordNet. In this paper, we define the Super Word Set including the hypenym, hyponym, holonym, and meronym set and propose an ontology mapping method using the Super Word Set. The results of experiments show that our method improves the performance by up to 12%, compared with previous ontology mapping method.
Keywords
Ontology Mapping; Mapped Concept; Mapped Property; Property Restriction Concept; Super Word Set Similarity;
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