Deriving similarity for Semantic Web using similarity graph

Authors:
Juhum Kwon;O-Hoon Choi;Chang-Joo Moon;Soo-Hyun Park;Doo-Kwon Baik
Affiliations:
Aff1, Seoul, South Korea 136-701;Aff1, Seoul, South Korea 136-701;Department of Computer Science, Konkuk University, Seoul, South Korea 380-701;Kookmin University, Seoul, South Korea 136-702;Aff1, Seoul, South Korea 136-701
Venue:
Journal of Intelligent Information Systems
Year:
2006

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Abstract

One important research challenge of current Semantic Web is resolving the interoperability issue across ontologies. The issue is directly related to identifying semantics of resources residing in different domain ontologies. That is, the semantics of a concept in an ontology differs from others according to the modeling style and intuition of the knowledge expert even though they are the same forms of a concept in each respective ontology. In this paper, we propose a similarity measure to resolve the interoperability issue by using a similarity graph. The strong point of this paper is that we provide a precise mapping technique and similarity properties to derive the similarity. The novel contribution of this paper is that we provide a core technique of computing similarity across ontologies of Semantic Web.