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Conference Papers Year : 2012

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

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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Dates and versions

lirmm-00720639 , version 1 (25-07-2012)

Identifiers

  • HAL Id : lirmm-00720639 , version 1

Cite

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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