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Conceptual Graphs for Formally Managing and Discovering Complementary Competences

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Graph Structures for Knowledge Representation and Reasoning (GKR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9501))

Abstract

The capture, the structuring of the expertise or the competences of an “object” (lie a business partner, an employee and even a software component or a Web service) are of very crucial interest in many application domains, like cooperative and distributed applications as well as in cooperative e_business applications and in human resource managment. The work that is described in this paper concerns the advertising, the classification and the discovry of competences. The foundings of the proposals that are described here after are a formal representation of competences using conceptual graphs and the use of operations on conceptual graphs for competence discovery and their possible composition.

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Author information

Authors and Affiliations

  1. Loria, Lorraine University, Nancy, France

    Nacer Boudjlida

  2. Bejaia University, Bejaia, Algeria

    Badrina Guessoum-Boumezoued

Authors
  1. Nacer Boudjlida
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  2. Badrina Guessoum-Boumezoued
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Corresponding author

Correspondence to Nacer Boudjlida .

Editor information

Editors and Affiliations

  1. LIRMM, Montpellier Cedex 5, France

    Madalina Croitoru

  2. CRIL-CNRS, Lens, France

    Pierre Marquis

  3. Fakultät Informatik, Technische Universität Dresden, Dresden, Sachsen, Germany

    Sebastian Rudolph

  4. University of Brighton, Brighton, United Kingdom

    Gem Stapleton

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Boudjlida, N., Guessoum-Boumezoued, B. (2015). Conceptual Graphs for Formally Managing and Discovering Complementary Competences. In: Croitoru, M., Marquis, P., Rudolph, S., Stapleton, G. (eds) Graph Structures for Knowledge Representation and Reasoning. GKR 2015. Lecture Notes in Computer Science(), vol 9501. Springer, Cham. https://doi.org/10.1007/978-3-319-28702-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-28702-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28701-0

  • Online ISBN: 978-3-319-28702-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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