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Light-Weight Cross-Lingual Ontology Matching with LYAM++

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On the Move to Meaningful Internet Systems: OTM 2015 Conferences (OTM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9415))

Abstract

During the last decade, several automatic ontology matching systems were developed to address the problem of ontology heterogeneity. Aligning cross-lingual ontologies is among the current challenging issues in the field of ontology matching. The majority of the existing approaches rely on machine translation to deal with this problem. However, inherent problems of machine translation are imprecision and ambiguity. In this paper, we propose a novel approach to the cross-lingual ontology matching task, relying on the large multilingual semantic network BabelNet as a source of background knowledge to assist the matching process. We have designed and tested a novel orchestration of the components of the matching workflow. Our approach is implemented under the form of a prototype named LYAM++ (Yet Another Matcher–Light)—a fully automatic cross-lingual ontology matching system that does not rely on machine translation. We report the results of our experiments that show that LYAM++ outperforms considerably the best techniques in the state-of-the-art according to the obtained results on the MultiFarm datasets of the Ontology Alignment Evaluation Initiative 2014.

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Authors and Affiliations

  1. LIRMM / University of Montpellier, Montpellier, France

    Abdel Nasser Tigrine, Zohra Bellahsene & Konstantin Todorov

Authors
  1. Abdel Nasser Tigrine
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  2. Zohra Bellahsene
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  3. Konstantin Todorov
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Corresponding author

Correspondence to Abdel Nasser Tigrine .

Editor information

Editors and Affiliations

  1. Trinity College Dublin, Dublin 2, Iran

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy Cedex, France

    Hervé Panetto

  3. TU Graz, Graz, Austria

    Robert Meersman

  4. La Trobe University, Melbourne, Australia

    Tharam Dillon

  5. PROFACTOR GmbH, Steyr-Gleink, Austria

    Georg Weichhart

  6. Drexel University, Philadelphia, Pennsylvania, USA

    Yuan An

  7. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

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Tigrine, A.N., Bellahsene, Z., Todorov, K. (2015). Light-Weight Cross-Lingual Ontology Matching with LYAM++. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2015 Conferences. OTM 2015. Lecture Notes in Computer Science(), vol 9415. Springer, Cham. https://doi.org/10.1007/978-3-319-26148-5_36

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  • DOI: https://doi.org/10.1007/978-3-319-26148-5_36

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  • Online ISBN: 978-3-319-26148-5

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