Modeling and representing structures for analyzing spatial organization in agronomy

Jean-Luc Metzger 1 Florence Le Ber 2 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we present the knowledge-based system ROSA working on spatial and functional organizations of farms in agronomy. The goal of this system is twofold: validation of the domain model and analysis of the functional organization with respect to the spatial organization of farms. First, we propose and detail a model of the domain based on the so-called ``spatial organization graph'' (sog). Then, we show how description logics are used to represent and to manipulate these spatial organization graphs. The reasoning in the ROSA system is mainly based on case-based reasoning, and involves also concept classification and spatial reasoning. Finally, we describe the manipulation of spatial organization graphs using case-based reasoning, and we discuss the overall approach before concluding.
Type de document :
Communication dans un congrès
11th International Conference on Conceptual Structures - ICCS 2003, Jul 2003, Dresden, Germany, Springer, 2746, pp.215--228, 2003, Lecture notes in Artificial Intelligence
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Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 09:39:00
Dernière modification le : jeudi 11 janvier 2018 - 06:19:55

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Jean-Luc Metzger, Florence Le Ber, Amedeo Napoli. Modeling and representing structures for analyzing spatial organization in agronomy. 11th International Conference on Conceptual Structures - ICCS 2003, Jul 2003, Dresden, Germany, Springer, 2746, pp.215--228, 2003, Lecture notes in Artificial Intelligence. 〈inria-00099585〉

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