Skip to main content

A Knowledge Management Initiative by UK Local Government

  • Chapter
Knowledge Management and Organizational Memories

Abstract

This paper describes a knowledge management (KM) project operating within UK local government. Called the INFOSHOP this is a unique collaboration between UK central and local government agencies to establish a knowledge management culture. INFOSHOP provides a distributed and flexible organisational memory for local government regulations. In particular the system helps non-technical front-line reception staff handle complex enquiries on a wide range of government regulations. The paper describes the legislative background to the project as well as the knowledge engineering and the knowledge level modelling undertaken for the project. The paper describes the design, implementation and architecture of the resulting distributed system that supports local customisation of the organisational memory in a controlled and managed process. INFOSHOP’s memory can be considered a case-based reasoning (CBR) system that uses derivational replay to solve problems rather than the more common retrieval of problem-solution pairs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aamodt, E. & Plaza E. (1994). Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches AICom — Artificial Intelligence Communications, IOS Press, Vol. 7: 1, pp. 39–59.

    Google Scholar 

  • Aha, D. W. (1998). The Omnipresence of Case-Based Reasoning in Science and Application. Knowledge-Based Systems, 11(5–6), 261–273

    Article  Google Scholar 

  • Aha, D.W., Maney, T., & Breslow, L. A. (1998). Supporting dialogue inferencing in conversational case-based reasoning. Fourth European Workshop on Case-Based Reasoning (pp. 262–273). Dublin, Ireland: Springer.

    Chapter  Google Scholar 

  • Longbottom D., Wade G. (1973). An investigation into the application of decision analysis in United Kingdom companies. Omega, vol.1, no.2, April 1973, pp.207–15. UK

    Article  Google Scholar 

  • Moret B.M.E. (1982). Decision trees and diagrams. Computing Surveys, vol.14, no.4, Dec. 1982, pp.593–62.

    Article  Google Scholar 

  • Mostow, G., & Fisher, G. (1989). Replaying Transformational Derivations of Heuristic Search Algorithms in DIOGENES. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif, US.

    Google Scholar 

  • Newell, A. (1982). The knowledge level. Artificial Intelligence, vol.18, no. 1, Jan. 1982, pp. 87–127.

    Article  Google Scholar 

  • Watson, I. (1997). Applying Case-Based Reasoning: techniques for enterprise systems. Morgan Kaufmann Inc.

    Google Scholar 

  • Watson, I. (1999). Case-Based Reasoning is a methodology not a technology. Knowledge Based Systems Journal Vol. 12 no.5–6, Oct. 1999, pp. 303–8. Elsevier, UK.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer Science+Business Media New York

About this chapter

Cite this chapter

Watson, I. (2002). A Knowledge Management Initiative by UK Local Government. In: Dieng-Kuntz, R., Matta, N. (eds) Knowledge Management and Organizational Memories. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0947-9_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-0947-9_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5318-8

  • Online ISBN: 978-1-4615-0947-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics