Evaluation of Similarity Measures for Ontology Mapping

  • Ryutaro Ichise
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5447)

Abstract

This paper presents an analysis of similarity measures for identifying ontology mapping. Using discriminant analysis, we investigated forty-eight similarity measures such as string matching and knowledge based similarities that have been used in previous systems. As a result, we extracted twenty-two effective similarity measures for identifying ontology mapping out of forty-eight possible similarity measures. The extracted measures vary widely in the type in similarity.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ryutaro Ichise
    • 1
  1. 1.National Institute of InformaticsTokyoJapan

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