Skip to main content
SpringerLink
Log in
Book cover

GWAI-90 14th German Workshop on Artificial Intelligence pp 322–333Cite as

KADS: Model Based KBS Development

  • Conference paper

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 251))

Abstract

In this paper knowledge acquisition for the development of knowledge-based systems is viewed as essentially a modeling activity [13]. A KBS is not a container filled with knowledge extracted from an expert, but an operational model that exhibits some desired behaviour observed or specified in terms of real-world phenomena. Several types of models relevant to knowledge acquisition are discussed. The use of models in the knowledge acquisition process is a means of coping with the complexity of the development process. Modeling at the knowledge level is considered to be an essential intermediate step in the development process for KBS. Some of the consequences and potential of the modeling approach for knowledge acquisition are discussed.

This article is a revised version of an invited paper forExpert Systems ‘89 London, September 1989. The research reported here was carried out in the course of the KADS project, a research project partially funded by the ESPRIT programme of the Commission of the European Communities as project number 1098. The partners in this project are STC Technology Ltd., SD pic., KBSC of TRMC (all UK), NTE NeuTech (W-G), Cap Sesa Innovation (F), and the University of Amsterdam (NL).

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. H. Akkermans, B. Wielinga, G. Schreiber, and J. Balder. Towards a formal specification of knowledge models. Technical Report ECN-89–006, ECN, Petten, The Netherlands, 1989.

    Google Scholar 

  2. J. H. Alexander, M. J. Freiing, S. J. Shulman, S. Rehfuss, and S. L. Messick. Ontological analysis: an ongoing experiment. In J. Boose and B. Gaines, editors, Knowledge-Based Systems, Volume 2: Knowledge Acquisition Tools for Expert Systems, pages 25–37. Academic Press, London, 1988.

    Google Scholar 

  3. J. L. Alty and M. J. Coombs. Face-to-face guidance of university computer users-i: a study of advisory services. International Journal of Man-Machine Studies, 12:390–406, 1980.

    Article  Google Scholar 

  4. N. J. Belkin, H. M. Brooks, and P. J. Daniels. Knowledge elicitation using discourse analysis. International Journal of Man-Machine Studies, 27(2):127–144,1987.

    Article  Google Scholar 

  5. J. Breuker, B. Wielinga, M. van Someren, R. de Hoog, G. Schreiber, P. de Greef, B. Bredeweg, J. Wielemaker, J-P Billault, M. Davoodi, and S. Hayward. Model Driven Knowledge Acquisition: Interpretation Models. ESPRIT Project P1098 Deliverable D1 (task Al), University of Amsterdam and STL Ltd, 1987.

    Google Scholar 

  6. J. Breuker, R. Winkels, and J. Sandberg. A shell for intelligent help systems. In Proceedings of the 10th IJCAI, pages 167–173, Milano, 1987.

    Google Scholar 

  7. B. Chandrasekaran. Generic tasks as building blocks for knowledge-based systems: the diagnosis and routine design examples. Knowledge Engineering Review, 1988. to appear.

    Google Scholar 

  8. W. J. Clancey. Heuristic classification. Artificial Intelligence, 27:289–350, 1985.

    Article  Google Scholar 

  9. P. de Greef. Cooperative statistical problem solving. Paper presented at the second international workshop on ai and statistics, SWI, University of Amsterdam, 1988.

    Google Scholar 

  10. P. de Greef and J. Breuker. A case study in structured knowledge acquisition. In Proceedings of the 9th IJCAI, pages 390–392, Los Angeles, 1985.

    Google Scholar 

  11. T. DeMarco. Controlling Software Projects. Yourdon Press. New York, 1982.

    Google Scholar 

  12. L. Eshelman, D. Ehret, J. McDermott, and M. Tan. MOLE: a tenacious knowledge acquisition tool. In J. H. Boose and B. R. Gaines, editors, Knowledge Based Systems, Volume 2: Knowledge Acquisition Tools for Expert Systems, pages 95–108, London, 1988. Academic Press.

    Google Scholar 

  13. S. A. Hayward, B. J. Wielinga, and J. A. Breuker. Structured analysis of knowledge. International Journal of Man-Machine Studies, 26:487–498, 1987.

    Article  Google Scholar 

  14. W. Jansweijer. PDP. PhD thesis, University of Amsterdam, 1988.

    Google Scholar 

  15. R. Krickhahn, P. de Greef, I. Perrot, T. Mulhall, and R. Taylor. Hci issues in kbs design. ESPRIT Project P1098, deliverable B4 (vol. 2), NTE Neutech, Munich, 1989.

    Google Scholar 

  16. J. McDermott. Preliminary steps towards a taxonomy of problem-solving methods. In S. Marcus, editor, Automating Knowledge Acquisition for Expert Systems, pages 225–255. Kluwer Academic Publishers, The Netherlands, 1989.

    Google Scholar 

  17. K. Morik. Sloppy modelling. In K. Morik, editor, Knowledge Representation and Organisation in Machine Learning Springer Verlag, 1989.

    Chapter  Google Scholar 

  18. M. A. Musen, L. M. Fagan, D. M. Combs, and E. H. Shortliffe. Use of a domain model to drive an interactive knowledge editing tool. In J. Boose and B. Gaines, editors, Knowledge-Based Systems, Volume 2: Knowledge Acquisition Tools for Expert Systems, pages 257–273, London, 1988. Academic Press.

    Google Scholar 

  19. I. M. Neale. First generation expert systems: a review of knowledge acquisition methodologies. The Knowledge Engineering Review, (2):105–145, 1988.

    Google Scholar 

  20. A. Newell. The knowledge level. Artificial Intelligence, 1982:87–127, 1982.

    Article  Google Scholar 

  21. M. E. Pollack, J. Hirschberg, and B. Webber. User participation in the reasoning process of an expert system. In Proceedings of the AAAI 1982, pages 286–291. Morgan Kaufman, 1982.

    Google Scholar 

  22. E. M. Roth and D. D. Woods. Cognitive task analysis: An approach to knowledge acquisition for intelligent system design. In P. Guida and G. Tasso, editors, Topics in Expert System Design, pages 233–264, Amsterdam, 1989. North Holland.

    Google Scholar 

  23. G. Schreiber, J. Breuker, B. Bredeweg, and B. Wielinga. Modelling in KBS development in Proc. 2nd European Knowledge Acquisition Workshop, Bonn, pages 7.1–7.15, St. Augustin, 1988. GMD. GMD-Studien 143.

    Google Scholar 

  24. L. Steels. Components of expertise. AI Memo 88–16, AI Lab, Vrije Universiteit Brüssel, 1988.

    Google Scholar 

  25. B. Wielinga, H. Akkermans, G. Schreiber, and J. Balder. A knowledge acquisition perspective on knowledge-level models. In J. H. Boose and B. R. Gaines, editors, Proceedings Knowledge Acquisition Workshop KAW89, Bannf, pages 36–1 — 36–22, University of Calgary, 1989. SRDG Publications.

    Google Scholar 

  26. B. Wielinga and J. Breuker. Interpretation of verbal data for knowledge acquisition. In T. O’Shea, editor, Advances in Artificial Intelligence, pages 41–50, Amsterdam, 1984. ECAI, Elsevier Science publishers.

    Google Scholar 

  27. B. Wielinga and J. Breuker. Models of expertise. In Proceedings ECAI’86, pages 306–318, 1986.

    Google Scholar 

  28. B. Wielinga, G. Schreiber, and P. de Greef. Synthesis report. ESPRIT Project P1098, Deliverable Y3, University of Amsterdam, 1989.

    Google Scholar 

  29. B J. Wielinga and B. Bredeweg. Knowledge and expertise in expert systems. In G.C. van der Veer and G. Mulder, editor, Human-Computer Interaction: Psychonomics Aspects, pages 290–297, Berlin, 1988. Springer- Verlag.

    Google Scholar 

  30. B. J. Wielinga, B. Bredeweg, and J. A. Breuker. Knowledge acquisition for expert systems. In R.T. Nossum, editor, Advanced Topics in Artificial Intelligence (ACAI-87), pages 96–124. Springer-Verlag, Berlin Heidelberg, 1988.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Social Science Informatics, University of Amsterdam, Herengracht 196, NL-1016 BS, Amsterdam, The Netherlands

    Bob Wielinga & Guus Schreiber

Authors
  1. Bob Wielinga
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guus Schreiber
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. >c/o Danet GmbH, Pallaswiesenstr. 203, D-6100, Darmstadt, Deutschland

    Heinz Marburger

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wielinga, B., Schreiber, G. (1990). KADS: Model Based KBS Development. In: Marburger, H. (eds) GWAI-90 14th German Workshop on Artificial Intelligence. Informatik-Fachberichte, vol 251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76071-6_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-76071-6_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53132-6

  • Online ISBN: 978-3-642-76071-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation