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

Florence Le Ber (ENGEES, France and LORIA, Vandoeuvre-les-Nancy, France)

Amedeo Napoli (LORIA UMR 7503, BP 239, 54506 Vandoeuvre-les-Nancy, France)

Jean-Luc Metzger (LORIA, Vandoeuvre-les-Nancy, France)

Sylvie Lardon (ENGREF, France)

Abstract: In this paper, we present the knowledge­based 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 case­based reasoning in the rosa system and related work.

Keywords: agronomy, case-based reasoning, description logics, graphs, hierarchical classification, spatial structure analysis

Categories: I.2.1, I.2.4