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Applying Knowledge Management: Techniques for Building Organisational Memories

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Advances in Case-Based Reasoning (ECCBR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2416))

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Abstract

Over the previous two years I have collected case-studies of successfully fielded commercial knowledge management systems that use case-based reasoning (CBR). These case-studies have been collated into a book to be published by Morgan Kaufmann in November 20021. This paper summarises the findings of the book, showing that CBR is ideally suited to the creation of knowledge management systems. This is because of the close match between the activities of the CBR-cycle and the process requirements of a knowledge management system. The nature of knowledge within an organisation is briefly discussed and the paper illustrates the dynamic relationship between data, information and knowledge, showing how CBR can be used to help manage the acquisition and reuse of knowledge.

Watson, I. (Ed.) Applying Knowledge Management: techniques for building organisational memories. Morgan Kaufmann Publishers Inc., San Francisco, CA. November 2002.

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Author information

Authors and Affiliations

  1. AI-CBR Department of Computer Science, University of Auckland, Auckland, New Zealand

    Ian Watson

Authors
  1. Ian Watson
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Editor information

Editors and Affiliations

  1. School of Computing, The Robert Gordon University, St. Andrew Street, Aberdeen, AB25 1HG, Scotland, UK

    Susan Craw

  2. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3UE, Scotland, UK

    Alun Preece

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© 2002 Springer-Verlag Berlin Heidelberg

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Watson, I. (2002). Applying Knowledge Management: Techniques for Building Organisational Memories. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_2

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  • DOI: https://doi.org/10.1007/3-540-46119-1_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44109-0

  • Online ISBN: 978-3-540-46119-7

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