Metadata support to retrieve and revise solutions in case-based reasoning
Authors: Manenti, Lorenza; Sartori, Fabio
Source: International Journal of Metadata, Semantics and Ontologies, Volume 6, Numbers 3-4, July 2011 , pp. 185-194(10)
Publisher: Inderscience Publishers
Abstract:Case Based Reasoning (CBR) is a knowledge management approach that consists of the development of decision-support systems where problems are solved by analogy with similar problems 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. This paper presents one of these frameworks, namely CRePERIE, an on-going research project based on the integration between CBR paradigm and metadata approach to obtain domain-independent case structure and retrieval algorithm definition. The paper focuses on how the developed retrieval strategy can be profitably exploited for the CBR revision step too, according to a substitutional approach.
Document Type: Research Article
Affiliations: Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca 336/14, 20126, Milano, Italy
Publication date: July 1, 2011
- International Journal of Metadata, Semantics and Ontologies aims at publishing research advances and discussions about meta-data in a broad sense, and about their associated semantics and ontological structures, from a multi-disciplinary perspective, and with an emphasis on domain-specific ontologies and organisational, human interaction and social issues regarding metadata annotation, use and assessment. It also intends covering Semantic Web research, as a concrete metadata-intensive technological framework in which shared and standardised semantics are a critical issue.
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