NAKED: N-Ary Graphs from Knowledge Bases Expressed in Datalogpm

Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019
Place of PublicationRichland
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Pages2390-2392
Number of pages3
ISBN (Print)978-1-4503-6309-9
Publication statusPublished - May 2019
EventInternational Conference on Autonomous Agents and Multiagent Systems 2019 - Montreal, Canada
Duration: 1 May 2019 → …

Conference

ConferenceInternational Conference on Autonomous Agents and Multiagent Systems 2019
Abbreviated titleAAMAS 19
CountryCanada
CityMontreal
Period1/05/19 → …

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  • Cite this

    Yun, B., Croitoru, M., Vesic, S., & Bisquert, P. (2019). NAKED: N-Ary Graphs from Knowledge Bases Expressed in Datalogpm. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019 (pp. 2390-2392). International Foundation for Autonomous Agents and Multiagent Systems. http://dl.acm.org/citation.cfm?id=3332122