Toward a More Efficient Generation of Structured Argumentation Graphs

Bruno Yun, Srdjan Vesic, Madalina Croitoru

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

12 Citations (Scopus)
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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.
Original languageEnglish
Title of host publicationComputational Models of Argument
Subtitle of host publicationProceedings of COMMA 2018
EditorsSanjay Modgil, Katarzyna Budzynska, John Lawrence
PublisherIOS Press
Number of pages8
ISBN (Electronic)978-1-61499-906-5
ISBN (Print)978-1-61499-905-8
Publication statusPublished - 2018
EventCOMMA 2018 - Warsaw, Poland
Duration: 12 Sept 201814 Sept 2018

Publication series

NameFrontiers in Artificial Intelligence and Applications


ConferenceCOMMA 2018

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