O'FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2022

O'FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository

Abstract

O’FAIRe, the Ontology FAIRness Evaluator, is a methodology to automat-ically assess to which level a semantic resource or ontology respects the FAIR Principles. This paper describes the online tool implementing O’FAIRe within the AgroPortal ontology repository, through 61 ques-tions/tests, among 80% are based on the ontology metadata description. For a specific ontology or a group of semantic resources, O’FAIRe web service outputs both global and detailed scores (normalized) against the 15 FAIR Principles. O’FAIRe results are visualized and explained with new specific user-friendly interfaces (such as the FAIRness wheel) in order to help Ag-roPortal users improve the FAIRness of their resources. O’FAIRe is current-ly implemented in three different public ontology repositories as they offer the required metadata descriptions. In the future, we will deploy the service in other OntoPortal repositories.
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Dates and versions

lirmm-03630543 , version 1 (05-04-2022)
lirmm-03630543 , version 2 (18-04-2022)
lirmm-03630543 , version 3 (10-05-2022)

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Emna Amdouni, Syphax Bouazzouni, Clement Jonquet. O'FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository. 19th Extended Semantic Web Conference (ESWC 2022), Poster and demonstration, May 2022, Hersonissos, Greece. pp.89-94, ⟨10.1007/978-3-031-11609-4_17⟩. ⟨lirmm-03630543v3⟩
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