Title: A cloud based architecture for competence management and discovery

Authors: Badrina Gasmi Boumezoued; Nacer Boudjlida

Addresses: LIMED Laboratory, Faculty of Exact Sciences, Department of Computer Science, Bejaia University, 06000 Bejaia, Algeria ' LORIA Laboratory, Lorraine University, Nancy and Metz, Lorraine, France

Abstract: This work aims to define a method based on conceptual graphs formalism for competence management, and then apply the method for competence discovery and composition on distributed competence and knowledge bases. The paper contributes towards competence and knowledge management literature in two ways. The first contribution is first to formally represent the competences and second to define detailed algorithms for competence discovery and composition. The second contribution is in defining a conceptual architecture for the system of competence management and discovery based on the cloud in order to face the problems related to scalability, to take profit of the benefits of cloud computing technology and as a basis for the proof of concepts.

Keywords: competence management; competence discovery; competence representation; cloud computing; conceptual graphs; SaaS; composite answers; mediators federation; query satisfaction; query decomposition.

DOI: 10.1504/IJPD.2019.099215

International Journal of Product Development, 2019 Vol.23 No.2/3, pp.122 - 145

Received: 12 Jan 2018
Accepted: 01 Oct 2018
Published online: 23 Apr 2019 *

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