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A Generic Approach for Combining Linguistic and Context Profile Metrics in Ontology Matching

  • DuyHoa Ngo
  • Zohra Bellahsene
  • Remi Coletta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7045)

Abstract

Ontology matching is needed in many application domains. In this paper, we present a machine learning approach for combining metrics, which exploits various linguistic and context profiles features in order to discover mappings between entities of different ontologies. Our approach has been implemented and the experimental results over Benchmark and Conference test cases on OAEI 2010 campaign demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility.

Keywords

Ontology matching matcher combination context profile linguistic metrics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • DuyHoa Ngo
    • 1
  • Zohra Bellahsene
    • 1
  • Remi Coletta
    • 1
  1. 1.LIRMM, Univ.MontpellierFrance

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