Argumentation graphs with constraint-based reasoning for collaborative expertise

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TitreArgumentation graphs with constraint-based reasoning for collaborative expertise
Type de publicationJournal Article
Year of Publication2018
AuteursDoumbouya MBilo, Kamsu-Foguem B, Kenfack H, Foguem C
JournalFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
Volume81
Pagination16-29
Date PublishedAPR
Type of ArticleArticle
ISSN0167-739X
Mots-clésArgumentation theory, Conceptual graphs, decision making, Inconsistencies, Medical deontology, Weighting
Résumé

Collaborative processes are very important in telemedicine domain since they allow for making right decisions in complex situations with multidisciplinary staff. When modelling these collaborative processes, some inconsistencies can appear. In semantic modelling (conceptual graphs), these inconsistencies are verified using constraints. In this work, collaborative processes are represented using an argumentation system modelled in a conceptual graph formalism where inconsistencies could be particular bad attack relation between arguments. To overcome these inconsistencies, two solutions are proposed. The first one is to weight the arguments evolving in the argumentation system on the basis of the competencies of the health professionals and the credibility of the sources justifying their advice (arguments), and the second one is to model some law concepts as constraints in order to check their compliance of the collaborative process. (C) 2017 Elsevier B.V. All rights reserved.

DOI10.1016/j.future.2017.09.081