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Toward a More Efficient Generation of Structured Argumentation Graphs
Acte de colloque   Open Access

Toward a More Efficient Generation of Structured Argumentation Graphs

Bruno Yun, Srdjan Vesic et Madalina Croitoru
Computational Models of Argument, Vol.305(Frontiers in Artificial Intelligence and Applications), pp.205-212
Computational Models of Argument
COMMA 2018 - 7th International Conference on Computational Models of Argument (Varsovie, Poland, 11/09/2018–14/09/2018)
2018

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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