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.
['Florence Le Ber', 'Amedeo Napoli', 'Jean-Luc Metzger', 'Sylvie Lardon']
Modeling and Comparing Farm Maps using Graphs and Case-based Reasoning