The AgreementMakerLight Ontology Matching System

  • Daniel Faria
  • Catia Pesquita
  • Emanuel Santos
  • Matteo Palmonari
  • Isabel F. Cruz
  • Francisco M. Couto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8185)

Abstract

AgreementMaker is one of the leading ontology matching systems, thanks to its combination of a flexible and extensible framework with a comprehensive user interface. In many domains, such as the biomedical, ontologies are becoming increasingly large thus presenting new challenges. We have developed a new core framework, AgreementMakerLight, focused on computational efficiency and designed to handle very large ontologies, while preserving most of the flexibility and extensibility of the original AgreementMaker framework. We evaluated the efficiency of AgreementMakerLight in two OAEI tracks: Anatomy and Large Biomedical Ontologies, obtaining excellent run time results. In addition, for the Anatomy track, AgreementMakerLight is now the best system as measured in terms of F-measure. Also in terms of F-measure, AgreementMakerLight is competitive with the best OAEI performers in two of the three tasks of the Large Biomedical Ontologies track that match whole ontologies.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Daniel Faria
    • 1
  • Catia Pesquita
    • 1
  • Emanuel Santos
    • 1
  • Matteo Palmonari
    • 2
  • Isabel F. Cruz
    • 3
  • Francisco M. Couto
    • 1
  1. 1.LASIGE, Department of InformaticsFaculty of Sciences of the University of LisbonPortugal
  2. 2.Department of Informatics, Systems and CommunicationUniversity of Milan BicoccaItaly
  3. 3.ADVIS Lab, Department of Computer ScienceUniversity of Illinois at ChicagoUSA

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