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Continuous Capitalization of Design Knowledge

Author

Listed:
  • 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)

  • Benoit Eynard

    (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)

  • Lionel Roucoules

    (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)

  • Marc Lemercier

    (LM2S - Laboratoire Modélisation et Sûreté des Systèmes - ICD - Institut Charles Delaunay - UTT - Université de Technologie de Troyes - CNRS - Centre National de la Recherche Scientifique)

Abstract

Learning from past projects allows designers to avoid previous errors and to solve problems. Several methods have defined techniques to memorize lessons and experiences from projects in what we call project memory. This paper presents our traceability approach that allows to extract knowledge without perturbing designers' activities. Our approach is based on web technologies. In the one hand it keeps track of knowledge produced while using design tools (as a behavior model) , in the other hand, it restitutes knowledge according to a contextual situations recognition.

Suggested Citation

  • Nada Matta & Benoit Eynard & Lionel Roucoules & Marc Lemercier, 2002. "Continuous Capitalization of Design Knowledge," Post-Print hal-02634126, HAL.
    • Handle: RePEc:hal:journl:hal-02634126
    as

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