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Ontologies have been created to solve the problem of the heterogeneity of data on the Web and to share domain knowledge between systems. However, several ontologies of the same domain are developed on the Web which became themselves source of heterogeneity. The Ontology alignment is a solution to solve this type of problem. It aims to discover the semantic correspondences between ontologies. We present in this paper an efficient graph-based approach to tackle the problem of extracting ontology alignment. More precisely our approach consists in modeling the problem of extracting an alignment (matching) which satisfies multiple cardinality constraints, as minimizing some cost on a flow network. Our approach has been evaluated on a variety of synthetic and real data, and compared with current used algorithms (e.g., Hungarian and Karp algorithms).
ontologies, ontology alignment, graph based approach, cardinality constraints, flow network.
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