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An approach for the emerging ontology alignment based on the bees colonies

Abstract:

This work is a research in the field of Ontologies Integration from the point of view of Ontology Mining based on Services. Specifically, the work focuses on an automatic suggestion of ontological alignments for users. The Ontology Mining area (OM) is very recent, due to the current trend of using ontologies as a mechanism for representing knowledge, which has created a wide field to explore and extract knowledge. The problem lies in the comparison of existing ontologies, in order to use them together, that is, finding their semantic equivalences. There are different techniques for ontologies alignment as a form of ontological comparison based on the matching of the concepts, which is a fundamental process in the ontologies integration. Each alignment technique uses different strategies; based on specific principles, which make it more adequate for a particular context. This paper proposes an automatic approach for comparison and selection of alignment techniques, given a group of ontologies, based on the ABC algorithm, which is inspire by bee colonies. The approach uses as comparison and selection criteria the execution time, the number of aligned concepts, and the number of times the colony chooses each technique (this is due to the stochastic approach of the ABC algorithm).