Authors: Saida Gherbi; Mohamed Tarek Khadir
Addresses: LabGed Laboratory, Computer Science Department, Badji Mokhtar-Annaba University, P.O. Box 12, Annaba, 23000, Algeria; Department of Engineering, Annaba Higher School of Industrial Technology, P.O. Box 218, 23000, Annaba, Algeria ' LabGed Laboratory, Computer Science Department, Badji Mokhtar-Annaba University, P.O. Box 12, Annaba, 23000, Algeria
Abstract: This paper presents an ontology matching approach called ONTMAT1, which aims to automatically provide correspondence relations among both fundamentally heterogeneous ontologies through diverse similarity calculations between their entities. First, the problem of searching for the most pertinent, coherent and significant alignments is addressed. Next, a strategy that ensures flexibility and scalability of the application through a combination of different matchers is suggested. Moreover, a reasoner and WordNet dictionary have been used to resolve usual matching problems encountered with synonyms among other things. The approach has been simulated and tested online under the Ontology Alignment Evaluation Initiative (OAEI) 2019 conference task. The obtained results are detailed here with remarks about the findings.
Keywords: ontology matching; WordNet; Ontology Web Language; OWL; matching strategies; Ontology Alignment Evaluation Initiative; OAEI.
International Journal of Web Engineering and Technology, 2020 Vol.15 No.2, pp.119 - 139
Published online: 16 Sep 2020 *Full-text access for editors Access for subscribers Purchase this article Comment on this article