ONTMAT1: ontology matching using a reasoner and property restriction
Saida Gherbi, Mohamed Tarek Khadir · International Journal of Web Engineering and Technology · 2020
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.