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

Duy Hoa Ngo (1, 2) , Zohra Bellahsene (2)

1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 ZENITH - Scientific Data Management

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.

Mots clés: Ontology matching Machine learning Information Retrieval

Domaines: Base de données [cs.DB]

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⟩