Semi-automatic ontology construction for visual media web service

  • Authors:
  • Hayoung Kim;Jaeil Hwang;Bowon Suh;Yunmook Nah;Hyung-Soo Mok

  • Affiliations:
  • Dankook University, Gyeonggi-do, Korea;Dankook University, Gyeonggi-do, Korea;Dankook University, Gyeonggi-do, Korea;Dankook University, Gyeonggi-do, Korea;Konkuk University, Seoul, Korea

  • Venue:
  • Proceedings of the 2nd international conference on Ubiquitous information management and communication
  • Year:
  • 2008

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Abstract

Ontology is a description of the concepts and relationships that can exist for an agent or a community of agents. Ontologies are a key enabling technology for the Semantic Web. Previously, ontologies have been built manually by knowledge engineers using ontology editors. In this paper, we propose a semiautomatic ontology construction scheme for visual media data brokers and providers. We apply data mining techniques on sets of image data groups to determine general term relationships and utilize WordNet to determine semantic relationships between terms. Even though our research has been started for visual media data retrieval, the proposed scheme can be also applied to other problem domains.