Paper:
Language: English:

Efficient Merging for Heterogeneous Domain Ontologies Based on WordNet

Hyunjang Kong, Myunggwon Hwang, and Pankoo Kim

Department of Computer Science & Engineering, Chosun University, #375 Seosuk-dong, Dong-gu, Gwangju 501-759, South Korea

Received: October 28, 2005

Accepted: March 17, 2006

Keywords: ontology merging, WordNet

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.5 pp. 733-737, 2006

Abstract

As semantic web study progresses, domain ontologies built by engineers are based on writer’s academic background and research interests, preventing a uniform or standardized ontology using standard ontology building tools and ontology languages and restricting interoperability. Current ontology building tools focus on creating, editing and inferencing ontology efficiently but do not offer a way for merging heterogeneous domain ontologies. This paper presents a way for merging heterogeneous ontologies efficiently and correctly.

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