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1 ORPAILLEUR - Knowledge representation, reasonning INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

Abstract : This paper presents a knowledge-based system for land use interpretation and prediction. We describe our needs for representing knowledge and data, and for reasoning. We explain our choices : case-based reasoning within the framework of the description logic system RACER. Then, we present the knowledge base and the data we are working with. Data about spatial entities are represented as graphs and represented in the DL system accordingly. An example of graph manipulation is used to illustrate our purpose. Then, we propose a first synthesis of our research work and present an extension of the DL system necessary for going further.

Mots-clés : graphs description logics spatial reasoning raisonnement spatial graphes lodiques de description

Author: Jean-Luc Metzger - Florence Le Ber - Amedeo Napoli -



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