Ontology Mapping Using Fuzzy Conceptual Graphs and Rules

Abstract. This paper presents a new ontology mapping method between a source ontology and a target one considered as a reference. Both ontologies are composed of triplets of the form (object, characteristic, value). Values describing the objects of the reference ontology are hierarchically organized using the a kind of relation. The proposed method considers the ontology mapping problem as a rule application problem in the Conceptual Graph model. First, a vocabulary common to both ontologies is defined using mapping between values and characteristics. Each value of the source ontology is associated with a fuzzy set of values of the reference ontology. Then, the source ontology is translated into a fuzzy conceptual graph base and the reference ontology into a conceptual graph rule base. Finally, rules are applied into the fact base in order to find correspondences between objects of both ontologies. This method is implemented and applied to the mapping of ontologies in risk assessment in food products, and experimental results are presented.