A Novel System Architecture for Ontology Matching
Xingsi Xue, Jinshui Wang, Aihong Ren · 2016
In recent years, many ontology matching systems have been developed to deal with the semantic heterogeneity problem in ontology engineering by taking into account various aspects of this problem. Due to the high heterogeneity of ontologies, a combination of many methods is necessary to correctly determine the semantic correspondences between ontology elements. Moreover, difficulties can arise not only inside matcher combination but also in the mapping extraction process which might directly affect the quality of the final alignment. In this paper, we propose a novel ontology matching system architecture, and on this basis, we further present the details of two kernel models inside, i.e. ontology matching module and mapping extraction module. The experimental results show that the mean recall and precision of our ontology matching system are generally high, and the mean f-measure of the alignments obtained by our proposal outperforms all other state of the art matching systems.