On Ontological Expressivity and Modelling Argumentation Schemes Using COGUI

Abstract : Knowledge elicitation, representation and reasoning explanation by / to non computing experts has always been considered as a crafty task due to difficulty of expressing logical statements by non logicians. In this paper, we use the COGUI editor in order to elicit and represent Argumentation Schemes within an inconsis-tent knowledge base. COGUI is a visual, graph based knowledge representation editor compatible with main Semantic Web languages. COGUI allows for default reasoning on top of ontologies. We investigate its use for modelling and reasoning using Argumentation Schemes and discuss the advantages of such representation. We show how this approach can be useful in the practical setting of EcoBioCap where the different Argumentation Schemes can be used to lead reasoning.
Type de document :
Communication dans un congrès
AI: Artificial Intelligence, Dec 2014, Cambrige, United Kingdom. 34th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Incorporating Applications and Innovations in Intelligent Systems XXII, pp.5-18, 2014, Research and Development in Intelligent Systems XXXI. 〈10.1007/978-3-319-12069-0_1〉
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01109928
Contributeur : Alain Gutierrez <>
Soumis le : mardi 27 janvier 2015 - 11:09:40
Dernière modification le : vendredi 19 octobre 2018 - 15:18:01
Document(s) archivé(s) le : mardi 28 avril 2015 - 10:32:32

Fichier

15.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Wael Hamdan, Rady Khazem, Ghaida Rebdawi, Madalina Croitoru, Alain Gutierrez, et al.. On Ontological Expressivity and Modelling Argumentation Schemes Using COGUI. AI: Artificial Intelligence, Dec 2014, Cambrige, United Kingdom. 34th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Incorporating Applications and Innovations in Intelligent Systems XXII, pp.5-18, 2014, Research and Development in Intelligent Systems XXXI. 〈10.1007/978-3-319-12069-0_1〉. 〈lirmm-01109928〉

Partager

Métriques

Consultations de la notice

634

Téléchargements de fichiers

561