Knowledge Classification for Design project memory

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. 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.

Keywords: knowledge representation; engineering design; project management; classification; project memory (search for similar items in EconPapers)
Date: 2014
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Published in The DESIGN 2014 13th International Design Conference, 2014, Dubrovnik, Croatia

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02920268

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