Conceptual modelling of large reusable knowledge bases

  • B. J. Wielinga
  • A. Th. Schreiber
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 777)


Large amounts of knowledge are available in many knowledge bases for a variety of applications. This knowledge is however usually application specific, and thus not reusable. This paper discusses the problem of making knowledge shareable over applications and reusing it. Three principles are formulated that can form a basis for a methodology for designing sharable knowledge bases. The separation of domain and control knowledge, the explication of meta-models of the domain knowledge (ontologies), and the distinction between ontologies that submit to different classes of assumptions commitments are described as ways of achieving shareable and reusable knowledge bases.


Knowledge Base Domain Knowledge Task Model Ontological Commitment Knowledge Element 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Benjamins, V. R. (1993). Problem Solving Methods for Diagnosis. PhD thesis, University of Amsterdam, Amsterdam, The Netherlands.Google Scholar
  2. Breuker, J. A., Winkels, R. G. F., & Sandberg, J. A. C. (1987). A shell for intelligent help systems. In Proceedings of the 10th IJCAI, pages 167–173, Milan, Italy.Google Scholar
  3. Chandrasekaran, B. (1989). Task-structures, knowledge acquisition and learning. Machine Learning, 4(3/4):337–338.Google Scholar
  4. Clancey, W. J. (1983). The epistemology of a rule based system-a framework for explanation. Artificial Intelligence, 20:215–251.Google Scholar
  5. Gruber, T. (1992). Ontolingua: A mechanism to support portable ontologies. version 3.0. Technical report, Knowledge Systems Laboratory, Stanford University, California.Google Scholar
  6. Rumbaugh, J., Blaha, M., Premerlani, W., Eddy, F., & Lorensen, W. (1991). Object-Oriented Modelling and Design. Englewood Cliffs, New Jersey, Prentice Hall.Google Scholar
  7. Schreiber, A. T. (1992). Pragmatics of the Knowledge Level. PhD thesis, University of Amsterdam.Google Scholar
  8. Schreiber, A. T., Terpstra, P., Magni, P., & van Velzen, M. (1994). Analysing and implementing VT using COMMON-KADS. In Proceedings Knowledge Acquisition Workshop KAW'94, Banff, Canada. Contribution to the Sisyphus-93 experiment. To appear.Google Scholar
  9. Schreiber, A. T., van Heijst, G., Lanzola, G., & Stefanelli, M. (1993a). Knowledge organisation in medical KBS construction. In Andreassen, S., Engelbrecht, R., & Wyatt, J., editors, Proceedins of the 4th Conference on Artificial Intelligence in Medicine Europe, 3–6 October 1993, Munich, volume 10 of Studies in Health Technology and Informatics, pages 394–405, Amsterdam. The Netherlands. IOS Press.Google Scholar
  10. Schreiber, A. T., Wielinga, B. J., & Breuker, J. A., editors (1993b). KADS: A Principled Approach to Knowledge-Based System Development, volume 11 of Knowledge-Based Systems Book Series. London, Academic Press. ISBN 0-12-629040-7.Google Scholar
  11. Steels, L. (1990). Components of expertise. AI Magazine.Google Scholar
  12. Wielinga, B. J. & Breuker, J. A. (1986). Models of expertise. In Proceedings ECAI-86, pages 306–318.Google Scholar
  13. Wielinga, B. J., Schreiber, A. T., & Breuker, J. A. (1992). KADS: A modelling approach to knowledge engineering. Knowledge Acquisition, 4(1):5–53. Special issue ‘The KADS approach to knowledge engineering'. Reprinted in: Buchanan, B. and Wilkins, D. editors (1992), Readings in Knowledge Acquisition and Learning, San Mateo, California, Morgan Kaufmann, pp. 92–116.Google Scholar
  14. Wielinga, B. J., Van de Velde, W., Schreiber, A. T., & Akkermans, J. M. (1993). Towards a unification of knowledge modelling approaches. In David, J.-M., Krivine, J.-P., & Simmons, R., editors, Second Generation Expert Systems, pages 299–335. Berlin Heidelberg, Germany, Springer-Verlag.Google Scholar
  15. Yost, G. (1992). Configuring elevator systems. Technical report, Digital Equipment Corporation, 111 Locke Drive (LMO2/K11), Marlboro MA 02172.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • B. J. Wielinga
    • 1
  • A. Th. Schreiber
    • 1
  1. 1.Social Science InformaticsUniversity of AmsterdamWB AmsterdamThe Netherlands

Personalised recommendations