Applying Knowledge Management: Techniques for Building Organisational Memories

  • Ian Watson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2416)


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.


Knowledge Management Soft System Methodology Knowledge Management System Knowledge Asset Conceptual Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Checkland, P. & Scholes, J. (1990). Soft Systems Methodology in Action. Wiley, UK.Google Scholar
  2. [2]
    Moran, N. (1999). Becoming a Knowledge Based Organization, Financial Times Survey-Knowledge Management, 28th May 1999, London, UK.Google Scholar
  3. [3]
    Casson, M. (1997). Information and Organization, A New Perspective on the Theory of the Firm, Clarendon Press, Oxford, UK.Google Scholar
  4. [4]
    Boisot, M. (1998). Knowledge Assets, Securing Competitive Advantage in the Information Economy, Oxford University Press, Oxford, UK.Google Scholar
  5. [5]
    Davenport, T. D. (1997). Information Ecology, Mastering the Information and knowledge Environment, Oxford University Press, Oxford, UKGoogle Scholar
  6. [6]
    Priest, W. C. (1994), An Information Framework for the Planning and Design of ‘Information Highways’, Berkley Information Site.Google Scholar
  7. [7]
    Nonaka, I. & Takeuchi, H. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation, Oxford University Press, Oxford, UK.Google Scholar
  8. [8]
    Polyani, M. (1967). The Tacit Dimension, Routledge & Kegan Paul, London, UKGoogle Scholar
  9. [9]
    Choo, C. W. (1998). The Knowing Organization, Oxford University Press, Oxford, UK.Google Scholar
  10. [10]
    Watson, I. (1997). Applying Case-Based Reasoning: techniques for enterprise systems. Morgan Kaufmann, San Francisco, US.zbMATHGoogle Scholar
  11. [11]
    Checkland, P. & Howel, S. (1998). Information, Systems and Information Systems, Making Sense of the Field, John Wiley & Sons, UK.Google Scholar
  12. [12]
    Newell, A. (1982). The Knowledge Level. AI Vol. 18 pp. 87–127.Google Scholar
  13. [12a]
    Stewart, T. A. (1997). Intellectual Capital, Nicholas Brearly.Google Scholar
  14. [13]
    Watson, I. (2000). Report on Expert Systems 99 Workshop: Using AI to Enable Knowledge Management. In, Expert Update Vol. 3 No. 2, pp. 36–38.Google Scholar
  15. [14]
    Watson, I., (1999). CBR is a methodology not a technology. In, the Knowledge Based Systems Journal, Vol. 12. no. 5–6, Oct. 1999, pp. 303–8. Elsevier, UK.Google Scholar
  16. [15]
    Riesbeck, C.K. & Schank, R. (1989). Inside Case-Based Reasoning. Erlbaum, Northvale, NJ, US.Google Scholar
  17. [16]
    Aamodt, A. & Plaza, E. (1994). Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications, 7(i), pp. 39–59.Google Scholar
  18. [17]
    Dubitzky, W., Büchner, A.G. & Azuaje, F. J. Viewing Knowledge Management as a Case-Based Reasoning Application. In Exploring Synergies of Knowledge Management and Case-Based Reasoning David Aha, Irma Becerra-Fernandez, Frank Maurer, and Hector Munoz-Avila, (Eds.) AAAI Workshop Technical Report WS-99-10, pp. 23–27. AAAI Press, Menlo Park CA, US.Google Scholar
  19. [18]
    Aha, D., Becerra-Fernandez, I., Maurer, F. & Munoz-Avila, H. (1999). Exploring Synergies of Knowledge Management and Case-Based Reasoning. AAAI Technical Report WS-99-10. ISBN 1-57735-094-4Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Ian Watson
    • 1
  1. 1.AI-CBR Department of Computer ScienceUniversity of AucklandAucklandNew Zealand

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