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Multilingual Ontology Matching Evaluation – A First Report on Using MultiFarm

  • Christian MeilickeEmail author
  • Cássia Trojahn
  • Ondřej Šváb-Zamazal
  • Dominique Ritze
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7540)

Abstract

This paper reports on the first usage of the MultiFarm dataset for evaluating ontology matching systems. This dataset has been designed as a comprehensive benchmark for multilingual ontology matching. In a first set of experiments, we analyze how state-of-the-art matching systems – not particularly designed for the task of multilingual ontology matching – perform on this dataset. These experiments show the hardness of MultiFarm and result in baselines for any algorithm specifically designed for multilingual ontology matching. We continue with a second set of experiments, where we analyze three systems that have been extended with specific strategies to solve the multilingual matching problem. This paper allows us to draw relevant conclusions for both multilingual ontology matching and ontology matching evaluation in general.

Keywords

Match Process Language Pair Match System Reference Alignment Ontology Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Some of the authors are partially supported by the SEALS project (IST-2009-238975). Ondřej Šváb-Zamazal has been partially supported by the CSF grant no. P202/10/0761.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Christian Meilicke
    • 1
    Email author
  • Cássia Trojahn
    • 2
  • Ondřej Šváb-Zamazal
    • 3
  • Dominique Ritze
    • 1
  1. 1.University of MannheimMannheimGermany
  2. 2.INRIA and LIGGrenobleFrance
  3. 3.University of EconomicsPragueCzech Republic

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