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        An FCA-based Solution for Ontology Mediation

        Cure, Olivier,Jeansoulin, Robert Korean Institute of Information Scientists and Eng 2009 Journal of Computing Science and Engineering Vol.3 No.2

        In this paper, we present an ontology mediation solution based on the methods frequently used in Formal Concept Analysis. Our approach of mediation is based on the existence of instances associated to two source ontologies, then we can generate concepts in a new ontology if and only if they share the same extent. Hence our approach creates a merged ontology which captures the knowledge of these two source ontologies. The main contributions of this work are (i) to enable the creation of concepts not originally in the source ontologies, (ii) to propose a solution to label these emerging concepts and finally (iii) to optimize the resulting ontology by eliminating redundant or non pertinent concepts. Another contribution of this work is to emphasize that several forms of mediated ontology can be defined based on the relaxation of certain criteria produced from our method. The solution that we propose for tackling these issues is an automatic solution, meaning that it does not require the intervention of the end-user, excepting for the definition of the common set of ontology instances.

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        An FCA-based Solution for Ontology Mediation

        Olivier Cure,Robert Jeansoulin 한국정보과학회 2009 Journal of Computing Science and Engineering Vol.3 No.2

        In this paper, we present an ontology mediation solution based on the methods frequently used in Formal Concept Analysis. Our approach of mediation is based on the existence of instances associated to two source ontologies, then we can generate concepts in a new ontology if and only if they share the same extent. Hence our approach creates a merged ontology which captures the knowledge of these two source ontologies. The main contributions of this work are (ⅰ) to enable the creation of concepts not originally in the source ontologies, (ⅱ) to propose a solution to label these emerging concepts and finally (ⅲ) to optimize the resulting ontology by eliminating redundant or non pertinent concepts. Another contribution of this work is to emphasize that several forms of mediated ontology can be defined based on the relaxation of certain criteria produced from our method. The solution that we propose for tackling these issues is an automatic solution, meaning that it does not require the intervention of the enduser, excepting for the definition of the common set of ontology instances.

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