Case Based Reasoning (CBR) is a Knowledge Management approach that consists in the development of decision support systems where problem are solved by analogy with similar problem solved in the past. In this way, the system supports users in finding solutions without starting from scratch. CBR has become a very important research topic in Artificial Intelligence, with the definition of methodologies and architectural patterns for supporting developers in the design and implementation of case–based systems. The paper presents one of this frameworks, namely CReP, an on–going research project of the Artificial Intelligence Laboratory (L.Int.Ar.) of University of Milan–Bicocca. Moreover, its application in the SMMART project is described.
Bandini, S., Colombo, E., Manzoni, S., Sartori, F. (2009). Exploiting CReP for CBR application in Core Knowledge Management. In C. Batini, R. Schettini (a cura di), Emerging Paradigms in Informatics, Systems and Communication (Report n. 2009-01, June 2009, numero monografico) (pp. 53-57). Starrylink.
Exploiting CReP for CBR application in Core Knowledge Management
BANDINI, STEFANIA;COLOMBO, ETTORE;MANZONI, SARA LUCIA;SARTORI, FABIO
2009
Abstract
Case Based Reasoning (CBR) is a Knowledge Management approach that consists in the development of decision support systems where problem are solved by analogy with similar problem solved in the past. In this way, the system supports users in finding solutions without starting from scratch. CBR has become a very important research topic in Artificial Intelligence, with the definition of methodologies and architectural patterns for supporting developers in the design and implementation of case–based systems. The paper presents one of this frameworks, namely CReP, an on–going research project of the Artificial Intelligence Laboratory (L.Int.Ar.) of University of Milan–Bicocca. Moreover, its application in the SMMART project is described.
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