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A study of methodologies for assessing semantic similarity between two ontologies

Year: 2025

Type: article

Abstract: This paper aims at presenting a methodology to assess similarity between two ontologies. Many works on similarities between ontologies have been done. That is not the case between ontologies. This approach based on set theory, edges and feature similarity consists of two parts. Firstly, we determine set of concepts shared by two ontologies and Their differences before assessing similarity between the ontologies. Secondly the methodological part will be an extension of the first one. In this part, the method of assessing similarity values between two ontologies is extended by considering the "is-a" relation between concepts two ontologies.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17173006

Authors: NGOM, Aly Ngoné, DIOP, Mamadou, GAYE, Ibrahima, WILANE, Fatoumata, KALADZAVI, Guidedi

Institutions: International Institute for Water and Environmental Engineering, Université Alioune Diop de Bambey, University of Maroua

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7082656402

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