A Method for Integration of WordNet-Based Ontologies Using Distance Measures

  • Authors:
  • Trong Hai Duong;Ngoc Thanh Nguyen;Geun Sik Jo

  • Affiliations:
  • School of Computer and Information Engineering, Inha University, Korea;Institute of Information Science and Engineering, Wroclaw University of Technology, Poland;School of Computer and Information Engineering, Inha University, Korea

  • Venue:
  • KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
  • Year:
  • 2008

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Abstract

While there is a large body of previous work focused on WordNet-based for finding the semantic similarity of concepts and words, the application of these word oriented methods to ontology integration tasks has not been yet explored. In this paper, we propose a methodology of WordNet-based distance measures, and we apply the meaning of concepts of upper ontologies to an ontology integration process by providing semantic network called OnConceptSNet. It is a semantic network of concepts of ontologies in which relations between concepts derived from upper ontology WordNet. We also describe a methodology for conflict in ontology integration process.