Objectif Geographic data are important sources of information in commerce, industry, and everyday life. There is a growing awareness -will grow even more with the future progress of interoperability- that geographic information is often imprecise, uncertain, incomplete, qualitative in nature and difficult to combine with quantitative information in current GIS. Hence, we aim to provide theories and tools to help GI users " to be rigorous with uncertain information". This project continues the Esprit-4 project REVIGIS, which has shown the feasibility of using a fusion of fuzzy logics, non-monotonic logics and rough sets in such situations. Phase2 will develop into a collection of industry-strength techniques, demonstrated in large-scale applications with a mix of partners in academia, public agencies and commerce. It will also develop these techniques for application in the case where the knowledge base is derived from distributed and semantically heterogeneous spatial databases.OBJECTIVESThe previous REVIGIS (Esprit-4) project explored the potential of the use of the fusion of different formal approaches to handling spatial data uncertainty.The objectives are now:- To further develop techniques for the smooth integration of new information (data or constraints) into geographic databases;- To explicitly represent and reason with spatial uncertainty in systems;- To integrate qualitative techniques (developed in Phase 1) for dynamic spatial uncertainty handling and representation into state-of-the-art systems;- To evaluate algorithmic complexity and develop efficient algorithms for reasoning with spatial uncertainty;- To develop these techniques in the context of environmental and cadastral applications.DESCRIPTION OF WORKThis work continues the Esprit4-LTR project REVIGIS (Phase 1) by further developing the techniques for representing and reasoning about " knowledge revision " in spatial datasets, and integrating the techniques into current commercial and scientific applications. Phase 1 showed the feasibility of providing the foundations for reasoning in such situations, and showed the useful roles to be played of fuzzy logic, non-monotonic logics and rough sets. Phase 1 provided a unified approach to such methods, and developed criteria for the assessment of which technique to apply to which application. Phase 2 will develop the work from a demonstrator of the success of the foundation to a collection of industry-strength techniques, demonstrated in large-scale applications with a mix of partners in academia, commerce and national scientific organizations. The project will also develop these techniques for application in the case (now usual) where the knowledge base is derived from distributed and semantically heterogeneous spatial databases, including the information extraction from primary data, such as remotely sensed imagery. This work is enhanced by the addition of new commercial and academic partners. Consequently, this requires evaluation of the impact of this work on national and European data quality standards. The project will prove the applicability of concepts, by constructing tools for application to the environmental and cadastral information bases. The theoretical and long-term foundational research strand will also be further developed.The workplan divides the project into packages:- Reasoning under uncertainty with geographic knowledge;- Land description with ill-defined spatial objects;- Fusion and revision of strongly constrained spatial objects;- Scientific general coordination, project management and information dissemination: http://igm.univ-mlv.fr/~jeansoul/REVIGIS/ Champ scientifique natural sciencescomputer and information sciencesdatabasesnatural sciencesearth and related environmental sciencesphysical geographycartographygeographic information systemssocial scienceseconomics and businessbusiness and managementcommercenatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) FP5-IST - Programme for research, technological development and demonstration on a "User-friendly information society, 1998-2002" Thème(s) 1.1.2.-6.1.1 - FET O: Open domain Appel à propositions Data not available Régime de financement CSC - Cost-sharing contracts Coordinateur UNIVERSITE DE PROVENCE Contribution de l’UE Aucune donnée Adresse 3, PLACE VICTOR HUGO 13331 MARSEILLE CEDEX 03 France Voir sur la carte Coût total Aucune donnée Participants (8) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire CONSIGLIO NAZIONALE DELLE RICERCHE Italie Contribution de l’UE Aucune donnée Adresse PIAZZALE ALDO MORO 7 00185 ROMA Voir sur la carte Coût total Aucune donnée INSTITUT FUER GEOINFORMATION UND LANDESVERMESSUNG Autriche Contribution de l’UE Aucune donnée Adresse GUSSHAUSSTRASSE 27-29 E.127 1040 WIEN Voir sur la carte Coût total Aucune donnée KEELE UNIVERSITY Royaume-Uni Contribution de l’UE Aucune donnée Adresse KEELE UNIVERSITY ST5 5BG STAFFORDSHIRE Voir sur la carte Coût total Aucune donnée SOCIETE MEDITERRANEENNE D'ETUDES ET D'INFORMATIQUE France Contribution de l’UE Aucune donnée Adresse 115 RUE SAINT JACQUES 13006 MARSEILLE Voir sur la carte Coût total Aucune donnée STICHTING INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION Pays-Bas Contribution de l’UE Aucune donnée Adresse HENGELOSESTRAAT 99 7514 AE ENSCHEDE Voir sur la carte Coût total Aucune donnée UNIVERSITE DE TOULON ET DU VAR France Contribution de l’UE Aucune donnée Adresse AVENUE DE L'UNIVERSITE 83957 LA GARDE CEDEX Voir sur la carte Coût total Aucune donnée UNIVERSITE LAVAL Canada Contribution de l’UE Aucune donnée Adresse CITE UNIVERSITAIRE G1K 7P4 SAINTE-FOY, QUEBEC Voir sur la carte Coût total Aucune donnée UNIVERSITY OF LEICESTER Royaume-Uni Contribution de l’UE Aucune donnée Adresse University Road LEICESTER Voir sur la carte Liens Site web Opens in new window Coût total Aucune donnée