Skip to main content

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 333))

  • 233 Accesses

Abstract

The construction of a knowledge-based system is an attempt to embody the knowledge of a particular expert, or experts, within a computer program. The knowledge used in solving problems must be elicited from the expert so that it can be acquired by the system. It has long been recognised that the elicitation of knowledge from the experts is a potential bottleneck in the construction of knowledge-based systems. This paper discusses some of the proven knowledge elicitation techniques and provides practical guidelines on how to apply them effectively. The techniques are described in the context of a single knowledge engineer acquiring knowledge from a single expert. This is the arrangement that most workers recommend; issues relating to multiple experts and multiple engineers are discussed in the final section.

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 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

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

  • Brooks, F.P. Jr. (1979) The Mythical Man-Month: Essays on Software Engineering. Addison Wesley.

    Google Scholar 

  • Chung, P.W.H., and B. Kumar (1987) Knowledge Elicitation Methods: A Case-Study in Structural Design. The Application of Artificial Intelligence Techniques to Civil and Structural Engineering (Ed. B.H. V. Topping), Civil-Comp Press, Edinburgh.

    Google Scholar 

  • Cullen J. and A. Bryman (1988) The Knowledge Acquisition Bottleneck: Time for Reassessment? Expert Systems, Vol 5(3), August, 1988.

    Google Scholar 

  • Feigenbaum, E. (1977) The Art of Artificial Intelligence: Themes and Cases Studies of Knowledge Engineering. IJCAI-77, 1014–1029.

    Google Scholar 

  • Gammack, J.G. and R.M. Young (1985) Psychology Techniques for Eliciting Expert Knowledge. In Research and Development in Expert Systems (Ed. M.A. Bramer ). Cambridge University Press.

    Google Scholar 

  • Hayes-Roth, F., D.A. Waterman, D.B. Lenat (Eds.) (1983) Building Expert Systems. Addison-Wesley.

    Google Scholar 

  • Inder, R., P.W.H. Chung and J. Fraser (1987) Towards a Methodology for Incremental System Development. Proceedings of Workshop on Knowledge Acquisition for Engineering Applications (Eds. C.J. Pavelin and M.D. Wilson). Report No. RAL-87–055. Rutherford Appleton Laboratory.

    Google Scholar 

  • Johnson, P.E. (1983) What Kind of Expert Should a System Be? Journal of Medicine and Philosophy, 8: 77–97.

    Article  Google Scholar 

  • Johnson, N.E. (1987) Mediating representations in knowledge elicitation. Proceedings of the First European Conference in Knowledge Acquisition for Knowledge Based Systems. University of Reading.

    Google Scholar 

  • McGraw, K. and K. Harbison-Briggs (1989) Knowledge Acquisition: Principles and Guidelines. Prentice-Hall.

    Google Scholar 

  • Miles, J.C. and C.J. Moore (1989) An Expert System for the Conceptual Design of Bridges. The Application of Artificial Intelligence Techniques to Civil and Structural Engineering (Ed. B.H. V. Topping ), Civil-Comp Press.

    Google Scholar 

  • Mittal, S. and Dym, C.L. (1985) Knowledge Acquisition From Multiple Experts. AI Magazine, pp32–36, Summer 1985.

    Google Scholar 

  • Regan, J.E. (1987) A Technique for Eliciting Categorical Knowledge for an Expert System. Proceedings of AAAI-87.

    Google Scholar 

  • Waldron, V. (1985) Process tracing as ameans of collecting knowledge for expert systems. Texas Instruments Engineering Journal, 2: 6, pp 90–93.

    Google Scholar 

  • Welbank, M.A. (1987) Perspectives on Knowledge Acquisition. Proceedings of Workshop on Knowledge Acquisition for Engineering Applications (Eds. C.J. Pavelin and M.D. Wilson). Report No. RAL-87–055. Rutherford Appleton Laboratory.

    Google Scholar 

  • Welford, A.T. (1968) Fundamentals of Skill, Methuen, London.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Wien

About this paper

Cite this paper

Chung, P.W.H. (1998). Effective Knowledge Elicitation. In: Tasso, C., de Arantes e Oliveira, E.R. (eds) Development of Knowledge-Based Systems for Engineering. International Centre for Mechanical Sciences, vol 333. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2784-1_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-2784-1_3

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82916-5

  • Online ISBN: 978-3-7091-2784-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics