Objective
Our aim is
- to match existing approaches of uncertainty handling to their best application profiles, and to develop new ones, able to handle more available GI. Not a unique approach can manage all the diversity of GI, eg.: indices computed from remotely sensed images versus spatial influence of the European agricultural policies;
- to improve present GIS technology by adding versatile and dynamic behaviour: what methods can handle both numeric and symbolic knowledge ? how and when to doubt a previous result ?
The REVIGIS project focuses on two "archetypic" approaches:
- the fuzzy representation, already succesfully investigated in the GI field but which poorly preserves the semantic information during the process, and, on the other hand,
- non monotonic representation (eg. default logics, rough sets), presumably best suited to preserve the symbolic and semantic information, but largely unexplored in the GI field and which toughly cooperates with statistical information.
How to?
- to use results of previous EC projects for fuzzy as well as non-monotonic logical representation of uncertain knowledge, and present research work on qualitative spatial reasoning;
- to assess a fuzzy approach on a land-use application (boundaries description)
- to assess a non-monotonic approach on a cadastral application (changes description)
- to compare approaches and their respective adequacy
- to evaluate the algorithmic complexity and short term achievability within commercial GIS.
What is expected?
- to demonstrate -phase 1- the feasibility of such revision approaches in several canonical examples and to compare and delimit their best range of use; then, if successful:
- to develop -phase 2- effective methods, then program and apply them in true scale studies, chosen in accordance with end-users and in cooperation with GIS industrials.
The majors benefits should result in:
- improvement in metadata specifications and quantification for GI providers,
- corpus of novel methods implementable by GI systems conceptors,
- better use of the GI in general by the users, resulting in a better cost-benefit balance.
The Geographic Information (GI) is one important part of the emerging Information Society. All of us - individuals, public bodies, private companies - are daily faced with GI. Among the many problems raised by this emerging spatial information infrastructure, the Uncertainty Handling is a big challenge which influences any kind of result one may expect from the use of GI, specially in spatial decision making. Most geographic applications use vague, uncertain, incomplete information or merely information which is much too qualitative to be embeded efficiently (even at all) into GIS. Hence large fragments of knowledge, presently discarded from automated processing of GI, could be recovered, providing that the overall knowledge is "maintained": this requires appropriate "revision mechanisms" which try to keep a knowledge base as consistant as possible.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences physical geography cartography geographic information systems
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Coordinator
13331 Marseille 3
France
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