HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadata

https://hal.inria.fr/inria-00099579
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 9:38:55 AM
Last modification on : Thursday, January 20, 2022 - 4:16:14 PM

Identifiers

  • HAL Id : inria-00099579, version 1

Citation

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⟩

Share

Metrics

Record views

104