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Soutenance HDR : Knowledge Technologies for Problem Solving in Engineering

20 novembre 2014
INSA de Strasbourg - Amphi de Dietrich

Soutenance d'Habilitation à Diriger des Recherches : Cecilia ZANNI-MERK

Titre : Knowledge Technologies for Problem Solving in Engineering

Équipe : BFO

Résumé : Conventionally, a knowledge-based system is composed of a fact base and a rule base, on which various types of reasoning can be made. This classical architecture presents several drawbacks (difficulties in eliciting expert tacit knowledge, leading to incomplete elicited models of expertise, among others). One possibility to overcome these drawbacks is the use of Semantic Technologies. Semantic technologies use methods from automatic language processing, machine learning and knowledge representation to build the ontologies and the rules that will enable their implementation. Semantic technologies are also intended to create new meaningful relationships, and therefore new knowledge, based on native or scanned digital information, with different natures and forms. The possibilities offered by semantic technologies include for example, the enrichment of documents with meta-data or the creation of specific linguistic or terminological standards, to facilitate decision making through effective knowledge management. However, decision-making, in order to be effective, must result from analysis and reasoning on this knowledge and should take into account the experience of decision-makers, as well as their expertise. As a consequence, it is necessary to take advantage of the experience acquired from the interventions of human experts when the traditional architecture does not lead to satisfactory results. Taking these ideas into account, this research project is based  on the proposal  of a layered architecture, called KREM (Knowledge, Rules, Experience and Meta-Knowledge), to manage the complexity of developing knowledge-based systems, to address the problems mentioned above and to incorporate the capitalization of experience with the goal of improving decision-making.

Le jury est composé de Thérèse Libourel, professeur à l'Université de Montpellier 2, Rossi Setchi, professeur à l'Université de Cardiff (UK), Edward Szczerbicki, professeur à L'université de Newcastle (Australie), Paul Bourgine, professeur à l'Open University (UK), Denis Cavallucci, professeur à l'INSA de Strasbourg, Claudia Frydman, professeur à l'Université d'Aix Marseille, Nada Matta, maître de conférence HDR à l'Université de Technologie de Troyes et Pierre Collet, professeur de l'Université de Strasbourg.

La présentation aura lieu le jeudi 20 novembre 2014 à 15h00 dans l'amphithéâtre de Dietrich de l'INSA de Strasbourg.

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