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The AgreementMakerLight Ontology Matching System
Daniel Faria1, Catia Pesquita1, Emanuel Santos1, Matteo Palmonari2, Isabel F. Cruz3, and Francisco M. Couto1
1LASIGE, Department of Informatics, Faculty of Sciences of the University of Lisbon, Portugal
2Department of Informatics, Systems and Communication, University of Milan Bicocca, Italy
3ADVIS Lab, Department of Computer Science, University of Illinois at Chicago, USA
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.
LNCS 8185, p. 527 ff.
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© Springer-Verlag Berlin Heidelberg 2013