An Evolutionary Algorithm based Ontology Matching System

Due to the high heterogeneity of ontologies, a combination of many methods is necessary to discover correctly the semantic correspondences between their elements. An ontology matching system can be seen as a collection of several matching components, which implements a specific method dealing with a specific heterogeneity type like the terminological, structural and semantic matchers. In this paper, a novel ontology matching system architecture is proposed and the details of its kernel model are presented, i.e. matching and mapping extraction module, where we construct a new optimal model for the ontology matching and mapping extraction problem and design a problem specific Evolutionary Algorithm (EA) for it. The experimental results show that the mean recall and precision of our approach is generally high, and the mean f-measure of the alignments obtained by our approach outperform all other state of the art matching systems.