Considering the high heterogeneity of the ontologies pub-lished on the web,ontology matching is a crucial issue whose aim is to establish links between anentity of a source ontology and one or several entities from a target ontology.Perfectible similarity measures, consid-ered as sources of information, arecombined to establish these links. The theory of belief functions is a powerfulmathematical tool for combining such uncertain information. In this paper, weintroduce a decision pro-cess based on a distance measure to identify the bestpossible matching entities for a given source entity.
展开▼
