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Toward a More Efficient Generation of Structured Argumentation Graphs
Bruno Yun, Srdjan Vesic, Madalina Croitoru
205 - 212
10.3233/978-1-61499-906-5-205
Frontiers in Artificial Intelligence and Applications
Volume 305: Computational Models of Argument
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.

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