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Knowledge Capitalization with a knowledge engineering approach: the MASK method

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  • 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)

  • Jean-Louis Ermine

    (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)

  • Gérard Aubertin

    (INRS ( Vandoeuvre lès Nancy) - Institut national de recherche et de sécurité (Vandoeuvre lès Nancy))

  • Jean-Yves Trivin

    (INRS ( Vandoeuvre lès Nancy) - Institut national de recherche et de sécurité (Vandoeuvre lès Nancy))

Abstract

Knowledge Management is a global process in the enterprise. It includes all the processes that allow capitalization, sharing and evolution of the Knowledge Capital of the firm, now recognized as a critical resource of the organization. The strategic objective of Knowledge Management is to understand, support, optimise and accelerate those processes, in coherence and cross-fertilization. Knowledge engineering techniques are often used to capitalize knowledge. These techniques must be adapted and evolved considering the main objectives of knowledge management: building and use organizational memory. We study, in this paper, how the knowledge engineering method MASK (Method for Analysing and Structuring Knowledge) considers this evolution.

Suggested Citation

  • Nada Matta & Jean-Louis Ermine & Gérard Aubertin & Jean-Yves Trivin, 2002. "Knowledge Capitalization with a knowledge engineering approach: the MASK method," Post-Print hal-02080566, HAL.
    • Handle: RePEc:hal:journl:hal-02080566
    DOI: 10.1007/978-1-4615-0947-9_2
    Note: View the original document on HAL open archive server: https://hal.science/hal-02080566v1
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