Modeling and Comparing Farm Maps using Graphs and Case-based Reasoning - Archive ouverte HAL Access content directly
Journal Articles Journal of Universal Computer Science Year : 2003

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

(1) , (2) , (2) ,
1
2

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.
Not file

Dates and versions

inria-00099579 , version 1 (26-09-2006)

Identifiers

  • HAL Id : inria-00099579 , version 1

Cite

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, 2003, 9 (9), pp.1073-1095. ⟨inria-00099579⟩
105 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More