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Knowledge Classification for Design project memory

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. Efforts has been made to save design project information in order to build a knowledge repository. However, project information without context can prove to be impossible to reuse. Hence a new knowledge engineering solution is called for to represent design information with its context, and necessary classification is required for knowledge extraction.

Suggested Citation

  • Jason Xinghang Dai & Nada Matta & Guillaume Ducellier, 2014. "Knowledge Classification for Design project memory," Post-Print hal-02920268, HAL.
    • Handle: RePEc:hal:journl:hal-02920268
    as

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