Integrating the IAC neural network in ontology mapping

  • Authors:
  • Ming Mao;Yefei Peng;Michael Spring

  • Affiliations:
  • SAP Research, Palo Alto, CA, USA;Yahoo!, Sunnyvale, CA, USA;University of Pittsburgh, Pittsburgh, PA, USA

  • Venue:
  • Proceedings of the 17th international conference on World Wide Web
  • Year:
  • 2008

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Abstract

Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. This paper proposes a neural network based approach to search for a global optimal solution that best satisfies ontology constraints. Experiments on OAEI benchmark tests show it dramatically improves the performance of preliminary mapping results.