Collaborative Decision-Making: A Proposal of an Semi-Automatic Facilitation Based on an Ontology

Jacqueline Konaté, Aminata Gueye, Pascale Zaraté and Guy Camilleri
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Jacqueline Konaté: Department of Mathematics and Computer Science, Université des Sciences, Des Techniques et des Technologies de Bamako, Bamako, Mali
Aminata Gueye: Department of Mathematics and Computer Science, Université des Sciences, Des Techniques et des Technologies de Bamako, Bamako, Mali
Pascale Zaraté: Institut de Recherche en Informatique de Toulouse, 118 route de Narbonne, F-31062 Toulouse Cedex 9, France3Université de Toulouse, UPS, INSA, INP, ISAE LAAS, F-31077, France
Guy Camilleri: Institut de Recherche en Informatique de Toulouse, 118 route de Narbonne, F-31062 Toulouse Cedex 9, France3Université de Toulouse, UPS, INSA, INP, ISAE LAAS, F-31077, France

International Journal of Information Technology & Decision Making (IJITDM), 2023, vol. 22, issue 01, 447-470

Abstract: In this paper, we focus on a recommendation approach for collaborative decision-making. This recommendation is possible by designing an ontology in a first step. The construction of this ontology is based on a state of the art on collaborative decision-making, on ontology engineering and on collaboration engineering. An eight-step ontology development methodology was adopted and implemented to design the ontology. A corpus made up of one hundred and seventy-seven (177) documents was the starting point for the extraction of terms from the ontology and the Unified Modeling Language (UML) language is used as a description language of the ontology. This ontology is the starting point for a facilitation support system in a collaborative decision-making process. In a second step, we defined rules, based on our expertise on collaborative decision-making, used to guide a group of decision maker or a facilitator.

Keywords: Group Decision Support Systems; collaborative decision-making; Group Support Systems; ontology; thinkLets; collaboration engineering (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219622022500420

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