Skip to Main content Skip to Navigation
Conference papers

Une méthodologie et un outil d'évaluation du niveau de " FAIRness " pour les ressources sémantiques : le cas d'AgroPortal

Abstract : The “FAIR” principles define a set of characteristics data and their metadata should respect in order to be Findable, Accessible, Interoperable, and Reusable. Per principle I2, an ontology, and more generally a semantic resource, should also be FAIR. Ontology-specific criteria begin to emerge, but there is still no mechanism to assess the degree of implementation of these principles. We propose an automatic evaluation method of the level of "FAIRness" of an ontology which is based on a rich and structured representation of the metadata. We rely on the MOD metadata model and have developed a prototype for AgroPortal, a repository of semantic resources and ontologies in agronomy.
Document type :
Conference papers
Complete list of metadata

https://hal-lirmm.ccsd.cnrs.fr/lirmm-03232615
Contributor : Emna Amdouni <>
Submitted on : Friday, May 21, 2021 - 6:12:01 PM
Last modification on : Monday, August 2, 2021 - 10:39:57 AM
Long-term archiving on: : Sunday, August 22, 2021 - 7:05:38 PM

File

Papier_IC_FAIRness_Amdouni_Jon...
Files produced by the author(s)

Identifiers

  • HAL Id : lirmm-03232615, version 1

Citation

Emna Amdouni, Clement Jonquet. Une méthodologie et un outil d'évaluation du niveau de " FAIRness " pour les ressources sémantiques : le cas d'AgroPortal. Jourrnées francophones d’Ingénierie des Connaissances (IC 2021) Plate-Forme Intelligence Artificielle (PFIA'21), Jun 2021, Bordeaux, France. pp.11-19. ⟨lirmm-03232615⟩

Share

Metrics

Record views

129

Files downloads

83