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Using rules to enhance evolution of knowledge mapping: Application on Healthcare

Menaouer Brahami 1 Baghdad Atmani 1 Nada Matta 2 
2 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
Abstract : Preserve knowledge, retain knowledge, these are the objectives of a scalable enterprise. Knowledge mapping is graphical techniques which allows of preserving and visualizing the patrimony strategic and trades of the domains of knowledge acquired over the years. The approach presented in this paper draws, firstly, on the exploitation of different data sources for improving the process of acquisition of explicit knowledge on an organization. In this sense, our contribution is to produce, from one hand inductive Boolean rules that will feed knowledge base CASI, and from other hand, refinement of Boolean model of the knowledge mapping already achieved by the MASKII method (Critical Knowledge Mapping).
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Submitted on : Tuesday, September 15, 2020 - 10:42:01 AM
Last modification on : Sunday, June 26, 2022 - 4:40:38 AM


  • HAL Id : hal-02938805, version 1



Menaouer Brahami, Baghdad Atmani, Nada Matta. Using rules to enhance evolution of knowledge mapping: Application on Healthcare. International Journal of Computer Science Issues, IJCSI Press, 2013, 10 (3), pp.261-270. ⟨hal-02938805⟩



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