Toward a More Efficient Generation of Structured Argumentation Graphs - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Communication Dans Un Congrès Année : 2018

Toward a More Efficient Generation of Structured Argumentation Graphs

Bruno Yun
Srdjan Vesic
Madalina Croitoru

Résumé

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.
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lirmm-01892707 , version 1 (10-10-2018)

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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⟩
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