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Web Community Knowledge Extraction for myCBR 3

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Book cover Research and Development in Intelligent Systems XXVIII (SGAI 2011)

Abstract

The current development of web communities and the Web 2.0 provide a huge amount of experiences. Making these experiences available as knowledge to be used in CBR systems is a current research effort. The process of extracting such knowledge from the diverse data types used in web communities and formalising it for CBR is not an easy task. In this paper we present the knowledge extraction workbench prototype KEWo and also review some of the challenges we were facing while integrating it into the case-based reasoning tool myCBR 3.

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Authors and Affiliations

  1. Explanation-aware Computing Systems, Institute of Computer Science, University of Hildesheim, Hildesheim, Germany

    Christian Sauer & Thomas Roth-Berghofer

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  1. Christian Sauer
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  2. Thomas Roth-Berghofer
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Correspondence to Christian Sauer .

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Editors and Affiliations

  1. University of Portsmouth, Lion Terrace, Portsmouth, PO1 3HE, United Kingdom

    Max Bramer

  2. School of Computing &, Mathematical Sciences, University of Greenwich, Park Row 30, London, SE10 9LS, United Kingdom

    Miltos Petridis

  3. , School of Computing and Informatics, Nottingham Trent University, Burton Street, Nottingham, NG1 4BU, United Kingdom

    Lars Nolle

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Sauer, C., Roth-Berghofer, T. (2011). Web Community Knowledge Extraction for myCBR 3 . In: Bramer, M., Petridis, M., Nolle, L. (eds) Research and Development in Intelligent Systems XXVIII. SGAI 2011. Springer, London. https://doi.org/10.1007/978-1-4471-2318-7_19

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  • DOI: https://doi.org/10.1007/978-1-4471-2318-7_19

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  • Print ISBN: 978-1-4471-2317-0

  • Online ISBN: 978-1-4471-2318-7

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