Objectif The aim of ACKNOWLEDGE is to improve the efficiency with which knowledge is acquired at all phases of knowledge-based system (KBS) development.The aim of the project is to improve the efficiencywith which knowledge is acquired at all phases of knowledge based system (KBS) development.The objective is to construct a knowledge engineering workbench (KEW) that will provide an integrated environment for knowledge elicitation and acquisition. Acquisition techniques will be integrated involving exisiting automated and nonautomated techniques. The key constituents of this workbench are machine learning, knowledge elicitation and dialogue techniques. Learning mechanisms will support automatic deduction and organization of new knowledge after new information has been provided or a particular event oberved. Elicitation methods will be implemented that will define the protocols of interaction with the system. Mixed initiative dialogue techniques, based on the recognition of intentions and the visualization of knowledge bases, will provide the foundations for integrating learning mechanisms and elicitation methods in the same environment. The project will also develop a comprehensive framework for guidance at all stages in KBS development.A first experimental prototype, integrating knowledge acquisition tools for diagnosis and classification applications, has been built and demonstrated, and following evaluation and experiments, a fully integrated version of the workbench has been designed and implemented. Feedback from evaluation, experiments and application developments has been incorporated in the final version of KEW. The workbench includes various knowledge acquisition tools, knowledge storage facilities, knowledge transformation tools, advice and guidance for application developers and user interface libraries.The objective is to construct a Knowledge Engineering Workbench (KEW) that will provide an integrated environment for knowledge elicitation and acquisition. Methods for integrating several knowledge acquisition techniques will be developed, and an environment that integrates a number of existing automated and non-automated techniques constructed. The key constituents of this workbench are machine learning, knowledge elicitation and dialogue techniques. Learning mechanisms will support automatic deduction and organisation of new knowledge after new information has been provided or a particular event observed. This capability is necessary to guide the decisions and reactions of the environment. Elicitation methods will be implemented in the environment and will thus define the protocols of interaction with the system. Mixed-initiative dialogue techniques, based on the recognition of intentions and the visualisation of knowledge bases, will provide the foundations for integrating learning mechanisms and elicitation methods in the same environment. The project will also develop a comprehensive framework for guidance at all stages in KBS development. Champ scientifique natural sciencescomputer and information sciencesknowledge engineeringnatural sciencescomputer and information sciencesartificial intelligenceexpert systemsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) FP2-ESPRIT 2 - European strategic programme (EEC) for research and development in information technologies (ESPRIT), 1987-1992 Thème(s) Data not available Appel à propositions Data not available Régime de financement Data not available Coordinateur CAP Gemini Innovation Contribution de l’UE Aucune donnée Adresse 7 chemin du Vieux Chêne 38240 Meylan France Voir sur la carte Coût total Aucune donnée Participants (7) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire COMPUTAS EXPERT SYSTEMS Norvège Contribution de l’UE Aucune donnée Adresse VERITASVEIEN, 1410 N-1322 HOVIK Voir sur la carte Coût total Aucune donnée Marconi Command and Control Systems Royaume-Uni Contribution de l’UE Aucune donnée Adresse Chobham Road GU16 5PE Camberley Voir sur la carte Coût total Aucune donnée SINTEF PRODUCTION ENGINEERING Norvège Contribution de l’UE Aucune donnée Adresse RICHARD BIRKELANDSVEJ, 2B 7034 TRONDHEIM Voir sur la carte Coût total Aucune donnée TELEFONICA Espagne Contribution de l’UE Aucune donnée Adresse EMILIO VARGAS, 6 28043 MADRID Voir sur la carte Coût total Aucune donnée UNIVERSIDAD POLITECNICA DE MADRID Espagne Contribution de l’UE Aucune donnée Adresse CAMPUS DE MONTEGANCEDO 28660 BOADILLA DEL MONTE Voir sur la carte Coût total Aucune donnée UNIVERSITEIT VAN AMSTERDAM Pays-Bas Contribution de l’UE Aucune donnée Adresse ROETERSSTRAAT, 15 1018 AMSTERDAM Voir sur la carte Coût total Aucune donnée UNIVERSITY OF NOTTINGHAM Royaume-Uni Contribution de l’UE Aucune donnée Adresse UNIVERSITY PARK NG7 2RD NOTTINGHAM Voir sur la carte Coût total Aucune donnée