In order to deal with the need of sharing learning objects within and across learning object repositories most of the recent work argue for the use of ontologies as a means for providing a shared understanding of common domains. But with the proliferation of a great number of different ontologies even for the same domain, it becomes necessary to provide a mapping process to perform interoperability. Although many efforts in ontology mapping have already been carried out, few of them use resources properties to generate relations between local concepts. Our approach exploits these properties and uses inference rules to produce correspondences between concepts from source and target ontology.