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MultiFarm: A benchmark for multilingual ontology matching

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  • Additional Information
    • Contributors:
      Institut für Informatik Mannheim; University of Mannheim = Universität Mannheim; Universidad Politécnica de Madrid (UPM); Centro de Informatica UFPE Recife (CIn); Universidade Federal de Pernambuco Recife (UFPE); Department of Computer Science - Vrije Universiteit; Vrije Universiteit Brussel Bruxelles (VUB); Vytsoka Skola Ekonomicka v Praze (VSE); Vysoká škola ekonomická v Praze; Fondazione Bruno Kessler Trento, Italy (FBK); Computer mediated exchange of structured knowledge (EXMO); Inria Grenoble - Rhône-Alpes; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG); Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS); Infra-Seals; European Project: 238975,EC:FP7:INFRA,FP7-INFRASTRUCTURES-2008-2,SEALS(2009)
    • Publication Information:
      CCSD
      Elsevier
    • Publication Date:
      2012
    • Collection:
      Université Grenoble Alpes: HAL
    • Abstract:
      meilicke2012a ; International audience ; In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages -Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish- we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.
    • Relation:
      info:eu-repo/grantAgreement/EC/FP7/238975/EU/Semantic Evaluation at Large Scale/SEALS
    • Accession Number:
      10.1016/j.websem.2012.04.001
    • Online Access:
      https://inria.hal.science/hal-00768423
      https://doi.org/10.1016/j.websem.2012.04.001
    • Accession Number:
      edsbas.4F727AC6