Large-Scale Ontology Alignment- An Extraction Based Method to Support Information System Interoperability

Ontology alignment is an important way of establishing interoperability between Semantic Webapplicationsthat use different but related ontologies. Ontology alignment isthe process of identifyingsemantically equivalent entities from multiple ontologies. This is not always obvious becausetechnical constraints such as data volume and execution time are determining factors in the choiceof an alignment algorithm. Nowadays, partitioning and modularization are two main strategies forbreaking down large ontologies into blocks or ontology modules respectively to align ontologies.This article proposes ONTEM as an effective alignment method for large-scale ontology based onthe ontology entities extraction. This article conducts a comprehensive evaluation using the datasetsof the OAEI 2018 campaign. The obtained results are promising, and they revealed that ONTEM isone of the most effective systems.KeywordsAlignment, Extraction, Large Ontologies, Matching, Modularization, Partitionnement, Semantic Interoperability