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Exploiting CReP for Knowledge Retrieval and Use in Complex Domains

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Metadata and Semantic Research (MTSR 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 108))

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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, focusing on the integration between CBR paradigm and metadata approach to obtain domain–independent case structure and retrieval algorithm definition.

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Authors and Affiliations

  1. Department of Computer Science, Systems and Communication (DISCo), University of Milan - Bicocca, viale Sarca, 336, 20126, Milan, Italy

    Lorenza Manenti & Fabio Sartori

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  1. Lorenza Manenti
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  2. Fabio Sartori
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Editors and Affiliations

  1. Universidad de Alcalá, Edificio Polité cnico, despacho O-246, Ctra. Meco s/n, 28871, Alcalá de Henares, Spain

    Salvador Sánchez-Alonso

  2. IDSIA/USI-SUPSI, Galleria 2, 6928, Manno, Lugano, Switzerland

    Ioannis N. Athanasiadis

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Manenti, L., Sartori, F. (2010). Exploiting CReP for Knowledge Retrieval and Use in Complex Domains. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds) Metadata and Semantic Research. MTSR 2010. Communications in Computer and Information Science, vol 108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16552-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-16552-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16551-1

  • Online ISBN: 978-3-642-16552-8

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