Author:
Souad Demigha
Affiliation:
Centre de Recherche en Informatique (C.R.I), Université de Paris 1 – Panthéon-Sorbonne, France
Keyword(s):
Retrieval process, SAFRS, case-based reasoning, training, MAP, intention, strategy.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Case-Based Reasoning
;
Enterprise Information Systems
;
Pattern Recognition
;
Symbolic Systems
;
Theory and Methods
Abstract:
The paper presents the retrieval process in the SAFRS system (system supporting the training of
radiologists-senologists) with the case-based reasoning approach (CBR, which is adopted to represent the experience of expert radiologists-senologists under the form of cases) and modelized with the MAP concept. The retrieval process relies on a procedure of case-based reasoning for retrieval of similar cases formalized using a MAP, a re-use methodology named the retrieval MAP. The model of the MAP is an intentional representation system. It is based on concepts of intention and strategy. The concept of intention (or a goal) aims to capture the objective to be achieved. A strategy is the manner an intention is achieved. The retrieval process with the MAP is a
multi-step/multi-algorithm process, which permits to retrieve similar cases in various modes and strategies. It is achieved according to three complex strategies: global strategy (or global retrieval strategy), elementary strategy
(or elementary retrieval strategy) and mixed strategy (or mixed retrieval strategy).
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