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Modeling and Comparing Farm Maps using Graphs and Case-based Reasoning

Florence Le Ber 1 Amedeo Napoli 2 Jean-Luc Metzger 2 Sylvie Lardon
2 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 in agriculture. The reasoning in ROSA combines hierarchical classification, case-based reasoning, and qualitative spatial reasoning. The goal of the system is twofold: formalizing and building a case base holding on farm spatial and functional organizations, and helping the analysis of new cases. Domain knowledge and cases are modeled with the help of the so-called spatial organization graphs (sogs), and represented within a description logic system. Hierarchical case-based reasoning, involving classification and qualitative spatial reasoning, is used to compare and explain farm spatial structures modeled by sogs. An example of case retrieval is proposed, followed by a global discussion on case-based reasoning in the ROSA system and related work.
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Submitted on : Tuesday, September 26, 2006 - 9:38:55 AM
Last modification on : Thursday, January 20, 2022 - 4:16:14 PM


  • HAL Id : inria-00099579, version 1


Florence Le Ber, Amedeo Napoli, Jean-Luc Metzger, Sylvie Lardon. Modeling and Comparing Farm Maps using Graphs and Case-based Reasoning. Journal of Universal Computer Science, Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2003, 9 (9), pp.1073-1095. ⟨inria-00099579⟩



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