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. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Ngo, D., & Bellahsene, Z. (2012). YAM++: A multi-strategy based approach for ontology matching task. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7603 LNAI, pp. 421–425). https://doi.org/10.1007/978-3-642-33876-2_38
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