IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02614078.html
   My bibliography  Save this paper

Comparison and evaluation of knowledge modeling techniques towards the definition of a global approach: MNEMO (Methodology for kNowledgE acquisition and MOdelling)

Author

Listed:
  • Maria Teresa Guaglianone

    (UNICAL - L@bdoc - Università della Calabria - Laboratorio di documentazione - UniCal - Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie])

  • Roberto Guarasci

    (UNICAL - L@bdoc - Università della Calabria - Laboratorio di documentazione - UniCal - Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie])

  • 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-Pierre Cahier

    (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)

  • Aurélien Bénel

    (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)

Abstract

It is commonly believed that the success of a company lies in the management of its knowledge, which is strategic resource for innovation and continuity. However, the most valuable knowledge is also tacit. It is difficult to be preserved, to be made reusable and to be enhanced, because it lies in people's minds and it is hard to express and share. Knowledge engineering techniques have been adapted and used for knowledge management, especially, for the acquisition and modelling of this kind of knowledge. In this paper, we present MNEMO (Methodology for kNowledgE acquisition and MOdelling), a mixed methodological approach, which combines the strengths of two of the mentioned techniques, CommonKADS and MASK (Method of Analysis and Structuring Knowledge), both analyzed and evaluated through real applications in specific domains. The goal is to dispose of a global method, which aims to be more complete and flexible for knowledge management purposes, with particular attention to modelling activity.

Suggested Citation

  • Maria Teresa Guaglianone & Roberto Guarasci & Nada Matta & Jean-Pierre Cahier & Aurélien Bénel, 2011. "Comparison and evaluation of knowledge modeling techniques towards the definition of a global approach: MNEMO (Methodology for kNowledgE acquisition and MOdelling)," Post-Print hal-02614078, HAL.
    • Handle: RePEc:hal:journl:hal-02614078
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02614078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.