Knowledge discovery in collaborative design projects

Jason Xinghang Dai (), Nada Matta () and Guillaume Ducellier ()
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Jason Xinghang Dai: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Nada Matta: Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique
Guillaume Ducellier: LASMIS - Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique

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Abstract: Design projects have evolved to be collaborative, concurrent and multi-disciplinary. Due to these changes, knowledge management for design projects faces new challenges, in order to represent all the elements in a collaborative design project, it is necessary to consider not only decision-making process, but also its context and interaction with other elements.

Keywords: Decision making; Organizations; Context; Collaboration; Classification algorithms; Knowledge discovery (search for similar items in EconPapers)
Date: 2014-05-19
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Citations: View citations in EconPapers (1)

Published in 2014 International Conference on Collaboration Technologies and Systems (CTS), May 2014, Minneapolis, United States. pp.330-336, ⟨10.1109/CTS.2014.6867585⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02920349

DOI: 10.1109/CTS.2014.6867585

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