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Argumentation graphs with constraint-based reasoning for collaborative expertise

Doumbouya, Mamadou Bilo and Kamsu-Foguem, Bernard and Kenfack, Hugues and Foguem, Clovis Argumentation graphs with constraint-based reasoning for collaborative expertise. (2018) Future Generation Computer Systems, 81. 16-29. ISSN 0167-739X

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Official URL: https://doi.org/10.1016/j.future.2017.09.081

Abstract

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.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Centre hospitalier Auban-Moët (FRANCE)
Other partners > Université Bourgogne Franche-Comté - UBFC (FRANCE)
Laboratory name:
Statistics:download
Deposited By: Pascale Lalot
Deposited On:15 Feb 2019 10:50

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