OntoMas: A tutoring system dedicated to ontology matching

Abstract

Ontology matching is now a core question in most of the applications that require semantic interoperability. To deal with this problem, a lot of methods, classified according to different criteria, are currently developed. However, choosing the most relevant method in a particular context is not an easy task since it requires to know all the methods and their intrinsic properties. The objective of the OntoMas1 tutoring system (Ontology Matching Assistant) is (1) to propose an architecture and to develop an effective knowledge-based system dedicated to a fine-grained description and a classification of the current matching methods and (2) to provide functionalities dedicated to the definition of advices and explanations (for the end-user), in order to facilitate both the choice of the most suitable method for a particular matching problem and the learning of this new domain: ontology matching.