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YAM++ : A multi-strategy based approach for Ontology matching task

Duy Hoa Ngo 1, 2 Zohra Bellahsene 2, *
* Corresponding author
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In this paper, we present the capability of our ontology matching tool YAM++. We show that YAM++ is able to discover mappings between entities of given two ontologies by using machine learning approach. Besides, we also demonstrate that if the training data are not available, YAM++ can discover mappings by using information retrieval techniques. Finally, we show that YAM++ is able to deal with multi-lingual ontologies matching problem.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00720639
Contributor : Duy Hoa Ngo <>
Submitted on : Wednesday, July 25, 2012 - 11:54:36 AM
Last modification on : Wednesday, November 14, 2018 - 2:56:02 PM
Long-term archiving on: : Friday, December 16, 2016 - 3:18:33 AM

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Duy Hoa Ngo, Zohra Bellahsene. YAM++ : A multi-strategy based approach for Ontology matching task. Knowledge Engineering and Knowledge Management, Oct 2012, Galway City, Ireland. pp.5. ⟨lirmm-00720639⟩

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