ENIT

EC0807OP0701GI - CAPITALISATION DES CONNAISSANCES ET SYSTEMES DECISIONNELS

Objectifs

Ce module de cours est destin� fournir une introduction aux principes, m�odes et outils de la capitalisation des connaissances avec les outils d�sionnels en entreprise. En effet, diff�nts ph�m�s (turn-over, retraites,..) conduisent les entreprises �enter de pr�rver leurs savoirs et leurs savoir-faire. Le module de formation aborde le probl� de l'ing�erie des connaissances et des syst�s d�sionnels �a fois d'un point de vue Intelligence collective de nouvelles entreprises et d'un point de vue plus web s�ntique.
e vue plus web sémantique.

This course module is intended to provide an introduction to the principles, methods and tools for knowledge capitalization with decision-making tools in enterprises.Indeed, different phenomena (turnover, retirements ...) lead companies to try to preserve their knowledge and expertise. The training module addresses the problem of engineering knowledge and decision-making systems both a collective intelligence point of view of new businesses and a more semantic web perspective.

Présentation

Capitalisation des connaissances (BK 12h=8 Cours + 6h de TD)
-Repr�ntation des connaissances : d�nition, bases philosophiques et psychologiques, historique de l'�lution des formalismes.
-Types de repr�ntation: logique formelle, r�es de production, �frames� et �scripts�, r�aux s�ntiques, repr�ntation proc�rale, repr�ntation analogique, etc.
-Cadre moderne de repr�ntation des connaissances : th�ie des graphes conceptuels.
-Diverses applications de l'ing�erie des connaissances: web s�ntique, travail coop�tif, ing�erie �cative, conception de syst�s, ing�erie linguistique, syst�s d'information, m�ires d'entreprise, etc.
-Syst�s D�sionnels (LG 12h = 6h Cours + 6h TD)
-Introduction
-Mod�sation d�sionnelle et th�ie de la d�sion
-D�sion sur plusieurs crit�s
-Business Intelligence
-Décision sur plusieurs critères
-Business Intelligence

Knowledge Capitalisation (BK 12h=8 Cours + 6h de TD)
-Knowledge Representation: definition, philosophical and psychological foundations, historical evolution of formalisms.
-Representation types: formal logic production rules, "frames" and "scripts" semantic networks, procedural representation, analog representation, etc.
-Representation types: formal logic production rules, "frames" and "scripts" semantic networks, procedural representation, analog representation, etc..
-Various applications of knowledge engineering: semantic web, cooperative work, educational engineering, systems design, language engineering, information systems, corporate memories, etc.
Decisional Systems (LG 12h = 6h Cours + 6h TD)
-Introduction
-Decision Modeling and decision theory
-Multicriteria decision
-Business Intelligence

Pré-requis


Recommandations


Conditions d'évaluation

(1*DS1)/1

DS1 : Devoir Surveillé 1

Bibliographie

Jean-Fran�s Ballay.Tous managers du savoir ! La seule ressource qui prend de la valeur en se partageant, �tions d'Organisation, Paris, 2002, (ISBN 2708127756)
Alphonse Carlier. Knowledge management et web 2.0, Hermes Science Publications, 2013, (ISBM 2746245493).
Michel Chein, Marie-Laure Mugnier, Madalina Croitoru. Visual reasoning with graph-based mechanisms: the good, the better and the best. The Knowledge Engineering Review / Volume 28 / Special Issue 03 / September 2013, pp 249-271.
Bernard Kamsu-Foguem. Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures. Advanced Engineering Informatics (ADVEI), Volume 26, Issue 4, October 2012, Pages 859-869.
Bernard Kamsu-Foguem, Fonbeyin Henry Abanda. Experience Modeling with Graphs encoded Knowledge for Construction Industry. Computers in Industry, Volume 70, June 2015, Pages 79-88.
T.R. Gruber. Ontology of folksonomy: a mash-up of apples and oranges. Int l Journal on Semantic Web & Information Systems, 3(2), 2007.
7.

Jean-Fran�s Ballay.Tous managers du savoir ! La seule ressource qui prend de la valeur en se partageant, �tions d'Organisation, Paris, 2002, (ISBN 2708127756)
Alphonse Carlier. Knowledge management et web 2.0, Hermes Science Publications, 2013, (ISBM 2746245493).
Michel Chein, Marie-Laure Mugnier, Madalina Croitoru. Visual reasoning with graph-based mechanisms: the good, the better and the best. The Knowledge Engineering Review / Volume 28 / Special Issue 03 / September 2013, pp 249-271.
Bernard Kamsu-Foguem. Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures. Advanced Engineering Informatics (ADVEI), Volume 26, Issue 4, October 2012, Pages 859-869.
Bernard Kamsu-Foguem, Fonbeyin Henry Abanda. Experience Modeling with Graphs encoded Knowledge for Construction Industry. Computers in Industry, Volume 70, June 2015, Pages 79-88.
T.R. Gruber. Ontology of folksonomy: a mash-up of apples and oranges. Intil Journal on Semantic Web & Information Systems, 3(2), 2007.
7.

En bref

Langue d'enseignement : français

Contact(s)

Composante

Contactez l'ENI de Tarbes

47, avenue d'Azereix - BP 1629 - 65016 Tarbes CEDEX

+33 (0)5 62 44 27 00

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