Skip to Main content Skip to Navigation
Conference papers

Toward a More Efficient Generation of Structured Argumentation Graphs

Bruno Yun 1 Srdjan Vesic 2 Madalina Croitoru 1
1 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : To address the needs of the EU NoAW project, in this paper we solve the problem of efficiently generating the argumentation graphs from knowledge bases expressed using existential rules. For the knowledge bases without rules, we provide a methodology that allows to optimise the generation of argumentation graphs. For knowledge bases with rules, we show how to filter out a large number of arguments and reduce the number of attacks.
Document type :
Conference papers
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download
Contributor : Bruno Yun Connect in order to contact the contributor
Submitted on : Wednesday, October 10, 2018 - 6:24:42 PM
Last modification on : Monday, October 11, 2021 - 1:24:05 PM


Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License



Bruno Yun, Srdjan Vesic, Madalina Croitoru. Toward a More Efficient Generation of Structured Argumentation Graphs. 7th International Conference on Computational Models of Argument (COMMA 2018), Sep 2018, Varsovie, Poland. pp.205-212, ⟨10.3233/978-1-61499-906-5-205⟩. ⟨lirmm-01892707⟩



Record views


Files downloads