DAGGER: Datalog+/- Argumentation Graph GEneRator

Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert

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

Abstract

We introduce DAGGER: a generator for logic based argumentation frameworks instantiated from inconsistent knowledge bases expressed using Datalog+-. The tool allows to import a knowledge base in DLGP format and the generation and visualisation of the corresponding argumentation graph. Furthermore, the argumentation framework can also be exported in the Aspartix format.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018
Place of PublicationRichland
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Pages1841-1843
Number of pages3
Publication statusPublished - Jul 2018
Event17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden
Duration: 10 Jul 201815 Jul 2018

Conference

Conference17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
CountrySweden
CityStockholm
Period10/07/1815/07/18

    Fingerprint

Cite this

Yun, B., Croitoru, M., Vesic, S., & Bisquert, P. (2018). DAGGER: Datalog+/- Argumentation Graph GEneRator. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018 (pp. 1841-1843). Richland: International Foundation for Autonomous Agents and Multiagent Systems.