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Ontologies are seen like the more relevant way to solve data understanding problem and to allow programs to perform meaningful operations on data in various domains. However, it appears that none of the proposed models is complete enough by itself to cover all aspects of knowledge applications. In this paper, we analyse existing modeling approaches and classify them according to some revelant characteristics of knowledge modeling we have identified. Finally, this paper present transformation rules between ontology models in order to get benefits of their strengths and to allow a powerful usage of ontologies in data management and knowledge

EXPLOITATION OF ONTOLOGY LANGUAGES FOR BOTH PERSISTENCE AND REASONING PURPOSES - Mapping PLIB, OWL and Flight Ontology Models