Abstract : Sharing knowledge and data coming from different sources is one of the biggest advantage of linked data. Keeping this knowledge graph up to date may take in account both ontology vocabularies and data since they should be consistent. Our general problem is to deal with web of data evolution in particular: We aim at assisting user in a such complex process. In this research work, we propose an agent based-argumentation framework to help user linked data changes. We assign for each agent a goal to acheive as process step. We rely upon communication-argumentation potential of the agent to harmonise changes with consistency.
Eunika Mercier-Laurent; Danielle Boulanger. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-497, pp.32-50, 2016, Artificial Intelligence for Knowledge Management
https://hal.inria.fr/hal-01626994
Contributeur : Hal Ifip
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Soumis le : mardi 31 octobre 2017 - 15:43:47
Dernière modification le : mercredi 1 novembre 2017 - 01:01:03
Document(s) archivé(s) le : jeudi 1 février 2018 - 13:48:08
Fatma Chamekh, Danielle Boulanger, Guilaine Talens. Web of Data Evolution by Exploiting Agent Based-Argumentation. Eunika Mercier-Laurent; Danielle Boulanger. 3rd IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2015, Buenos Aires, Argentina. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-497, pp.32-50, 2016, Artificial Intelligence for Knowledge Management. 〈hal-01626994〉
