YAM++: a multi-strategy based approach for ontology matching task

Authors:
DuyHoa Ngo;Zohra Bellahsene
Affiliations:
INRIA, LIRMM, Université Montpellier 2, Montpellier, France;INRIA, LIRMM, Université Montpellier 2, Montpellier, France
Venue:
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Year:
2012

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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.