OWL-CM: OWL combining matcher based on belief functions theory
Boutheina Ben Yaghlane, Najoua Laamari · 2007
Abstract. In this paper we propose a new tool called OWL-CM (OWL Combining Matcher) that deals with uncertainty inherent to ontology mapping process. On the one hand, OWL-CM uses the technique of similarity metrics to assess the equivalence between ontology entities and on the other hand, it incorporates belief functions theory into the mapping process in order to improve the effectiveness of the results computed by different matchers and to provide a generic framework for combining them. Our experiments which are carried out with the benchmark of Ontology Alignment Evaluation Initiative 2007 demonstrate good results. 1 Presentation of the system 1.1 State, purpose, general statement Semantic heterogeneity has been identified as one of the most important issue in information integration [5]. This research problem is due to semantic mismatches between models. Ontologies which provide a vocabulary for representing knowledge about a domain are frequently subjected to integration.