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Knowledge discovery in collaborative design projects

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jason Xinghang Dai & Nada Matta & Guillaume Ducellier, 2014. "Knowledge discovery in collaborative design projects," Post-Print hal-02920349, HAL.
    • Handle: RePEc:hal:journl:hal-02920349
    DOI: 10.1109/CTS.2014.6867585
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    Cited by:

    1. Yongjun Ji & Zuhua Jiang & Xinyu Li & Yongwen Huang & Fuhua Wang, 2023. "A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 1615-1637, April.

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