Novel approach for semantic similarity cross ontology

Abstract

Measuring <span>semantic similarity between terms is a crucial step in information retrieval and integration since it necessitates semantic content matching. Even though several models have been proposed to measure semantic similarity, these models are not able to effectively quantify the weight of relevant items that affect the semantic similarity judgment process. In this study, we present a new method for measuring semantic similarity between cross-ontologies, that consists of hybridizing node-based approaches such as WuP and Reda with the weight of similarity computed using WordNet. The proposed approach has been experimented to show its efficiency with two ontologies, configuration management tool (CMT) and ConfOf, from the conference domaine in the web ontology language (OWL) ontologies benchmark OAEI 2015 and evaluated using two metrics: density and cohesion.</span>

Ontological model of the process of intensification of teachers’ competencies

“…Ontological engineering combines the principles of object-oriented and structural analysis, as well as the basic technologies for designing complex systems. During ontological engineering, the main classes of entities are identified, as well as connections and clusters of characteristics between these classes [10], [11]. Foreign works [12]- [15] also study ontological engineering.…”