NAKED: N-Ary Graphs from Knowledge Bases Expressed in Datalog±

Bruno Yun (INRIA GraphIK, Université de Montpellier)

Abstract

In this demonstration paper, we introduce NAKED: a new generator for n-ary logic-based argumentation frameworks instantiated from inconsistent knowledge bases expressed using Datalog±. The tool allows to import a knowledge base in DLGP format, generate, visualise and export the corresponding argumentation hypergraph. We show its application on a use-case from the NoAW project.