Ontologies and Rules for Access Control: a Feature Oriented Survey

Pierre-Yves Gicquel (1, 2) , Jérémy Bouché-Pillon (1) , Pascale Zaraté (3, 4) , Nathalie Aussenac-Gilles (1, 2) , Yannick Chevalier (5, 6)

1 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
2 CNRS - Centre National de la Recherche Scientifique
3 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
4 UT Capitole - Université Toulouse Capitole
5 IRIT-LILaC - Logique, Interaction, Langue et Calcul
6 UT3 - Université Toulouse III - Paul Sabatier

Access-control systems are key components to guarantee the security and confidentiality of resource repositories. Most access-control systems that are today de facto standards were designed before the generalization of cloud services and Internet of Things. Such systems are particularly heavy to maintain in today's context, which gave rise to more flexible approaches based on logical description using semantic web technologies. In this paper, we propose a survey of these semantic approaches. Although this survey does not aim at being exhaustive, it offers the reader an overview of the main trends and their limitations.

Mots clés: Ontology; Semantic-web; Access control; Rule based system

Domaines: Intelligence artificielle [cs.AI]

Pierre-Yves Gicquel, Jérémy Bouché-Pillon, Pascale Zaraté, Nathalie Aussenac-Gilles, Yannick Chevalier. Ontologies and Rules for Access Control: a Feature Oriented Survey. 1st Workshop on Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture (DECISIONING 2022), Jun 2022, La Plata, Argentina. pp.1-12. ⟨hal-03762626⟩