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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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Submitted on : Wednesday, July 25, 2012 - 11:54:36 AM
Last modification on : Tuesday, October 25, 2022 - 4:23:31 PM
Long-term archiving on: : Friday, December 16, 2016 - 3:18:33 AM


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  • HAL Id : lirmm-00720639, version 1



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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