General applications from Information Analysis, Data Mining and Knowledge representation using Ontology Model : A special issue of e-JDE on Knowledge Management to design the best strategies process - Inria - Institut national de recherche en sciences et technologies du numérique
Proceedings/Recueil Des Communications Année : 2011

General applications from Information Analysis, Data Mining and Knowledge representation using Ontology Model : A special issue of e-JDE on Knowledge Management to design the best strategies process

Sahbi Sidhom

Résumé

This special issue of the Electronic Journal of Digital Enterprise (e-JDE), on Information Systems and Economic Intelligence field, focuses to develop the dialogue between experts and researchers from public and private, to acquire basic and experimental on Information Systems and Competitive Intelligence (or economic intelligence in French terminology). This promotes, in a risk environment, technologies related to economic intelligence (EI). The dynamic of EI depends on the control of knowledge and requires competences to design the best strategies and ensure that decision-makers take the right decisions. In this orientation on decision making, the information system is specifically developed as: accessible, appropriate decision making, and suitable for intelligent data representations, through its specialized tools. The purpose of such system is to attend the decision-maker to control his company with the right indicators by quantified data, pertinent information by good interpretations and strategic actions by the adjusted choices to the knowledge and the know-how in business.
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Dates et versions

hal-00783274 , version 1 (01-02-2013)

Identifiants

  • HAL Id : hal-00783274 , version 1

Citer

Sahbi Sidhom. General applications from Information Analysis, Data Mining and Knowledge representation using Ontology Model : A special issue of e-JDE on Knowledge Management to design the best strategies process. Academic e-Journal eJ.D.E. EJDE "Electronic Journal of Digital Enterprise (ISSN: 1776-2960)", Mar 2011, Montpellier, France. pp.1-7. ⟨hal-00783274⟩
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