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
2 CRIL - Centre de Recherche en Informatique de Lens

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.

Domaines: Intelligence artificielle [cs.AI]

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