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Extended Tversky Similarity for Resolving Terminological Heterogeneities across Ontologies

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Book cover On the Move to Meaningful Internet Systems: OTM 2013 Conferences (OTM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8185))

Abstract

We propose a novel method to compute similarity between cross-ontology concepts based on the amount of overlap of the information content of their labels. We extend Tversky’s similarity measure by using the information content of each term within an ontology label both for the similarity computation and for the weight assignment to tokens. The approach is suitable for handling compound labels. Our experiments showed that it outperforms existing terminological similarity measures for the ontology matching task.

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Author information

Authors and Affiliations

  1. LIRMM, University Montpellier 2, France

    DuyHoa Ngo, Zohra Bellahsene & Konstantin Todorov

Authors
  1. DuyHoa Ngo
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  2. Zohra Bellahsene
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  3. Konstantin Todorov
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Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. CRAN, University of Lorraine, Campus Sciences, BP 70239, 54506, Vandoevre-les-Nancy, France

    Hervé Panetto

  3. Computer Science and Computer Engineering, La Trobe University, 3086, Melbourne, Victoria, Australia

    Tharam Dillon

  4. Dept. of Informatics Systems, University of Klagenfurt, Universitaetsstrasse 65, 9020, Klagenfurt, Austria

    Johann Eder

  5. LIRMM, University of Montpellier II, 161 Rue Ada, 34392, Montpellier Cedex 5, France

    Zohra Bellahsene

  6. Department of Informatics, University of Hamburg, 22527, Hamburg, Germany

    Norbert Ritter

  7. Department of Computer Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Pieter De Leenheer

  8. Computer and Information Science Department, University of Oregon, 97403, Eugene, OR, USA

    Deijing Dou

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© 2013 Springer-Verlag Berlin Heidelberg

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Ngo, D., Bellahsene, Z., Todorov, K. (2013). Extended Tversky Similarity for Resolving Terminological Heterogeneities across Ontologies. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2013 Conferences. OTM 2013. Lecture Notes in Computer Science, vol 8185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41030-7_52

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  • DOI: https://doi.org/10.1007/978-3-642-41030-7_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41029-1

  • Online ISBN: 978-3-642-41030-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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