DAGGER: Datalog+/- Argumentation Graph GEneRator

Bruno Yun; Madalina Croitoru; Srdjan Vesic; Pierre Bisquert

doi:10.5555/3237383.3237996

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DAGGER: Datalog+/- Argumentation Graph GEneRator

Acte de colloque

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DAGGER: Datalog+/- Argumentation Graph GEneRator

Bruno Yun, Madalina Croitoru, Srdjan Vesic et Pierre Bisquert

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, (AAMAS’18), pp.1841-1843

AAMAS 2018 - 17th International Conference on Autonomous Agents and MultiAgent Systems (Stockholm, Sweden, 10/07/2018–15/07/2018)

2018

DOI: https://doi.org/10.5555/3237383.3237996

Résumé

argumentation graph generator

logic based argumentation frameworks

existential rules

We introduce DAGGER: a generator for logic based argumentation frameworks instantiated from inconsistent knowledge bases expressed using Datalog+/-. The tool allows to import a knowledge base in DLGP format and the generation and visualisation of the corresponding argumentation graph. Furthermore, the argumentation framework can also be exported in the Aspartix format.

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Détails

Titre: DAGGER: Datalog+/- Argumentation Graph GEneRator
Créateurs - sans rôle: Bruno Yun - Université de Montpellier
Madalina Croitoru - Graphs for Inferences on Knowledge
Srdjan Vesic - Centre National de la Recherche Scientifique
Pierre Bisquert - Institut Agro Montpellier
Détails de publication: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, (AAMAS’18), pp.1841-1843
Colloque: AAMAS 2018 - 17th International Conference on Autonomous Agents and MultiAgent Systems (Stockholm, Sweden, 10/07/2018–15/07/2018)
Identifiants: 9936976809311
Unité académique: Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: lirmm-01892588