Skip to main content
SpringerLink
Log in

Knowledge base organization in expert systems

  • Section II Approaches To Uncertainty D) General Issues
  • Conference paper
  • First Online:
Uncertainty in Knowledge-Based Systems (IPMU 1986)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 286))

Abstract

This paper describes a method for performing knowledge base (re)organization in Expert Systems oriented to classification, interpretation and diagnosis problems. The methodology can be applied either to the input descriptions of a set of samples, giving thus a preliminary characterization of groups of samples, or to a set of intermediate level descriptions, supplied by a human expert or previously automatically learned. An example of application is also given.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. -F. Bergadano, A. Giordana and L. Saitta: "Approximate Reasoning in Knowledge Acquisition", in "Fuzzy Logic in Knowledge Engineering", C.Negoita and H.Prade (Ed.s), (1985), 127–148.

    Google Scholar 

  2. -Y. Cheng and K.S. Fu: "Conceptual Clustering in Knowledge Organization", IEEE Trans. on Pattern Analysis and Machine Intelligence, PAMI-7, 592–598, (1985).

    Google Scholar 

  3. -L.M. Fu and B. Buchanan: "Learning Intermediate Concepts in constructing a Hierarchical Knowledge Base", Proc. IJCAI-85 (Los Angeles, CA, 1985), pag. 659–666.

    Google Scholar 

  4. -F. Hayes-Roth and J. McDermott: "An Interference Matching Technique for Inducing Abstractions", Comm. ACM, 21, 401–411, (1978).

    Google Scholar 

  5. -T. Mitchell: "Generalization as Search", Artificial Intelligence, 18, 203–226, (1982).

    Google Scholar 

  6. -R.S. Michalski: "Pattern Recognition as Rule-Guided Inductive Inference", IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2, 349–361, (1980).

    Google Scholar 

  7. -A. Heeffer: "Validating Concepts from Automated Acquisition Systems", Proc. IJCAI-85 (Los Angeles, CA, 1985), pag. 613–615.

    Google Scholar 

  8. -B. Arbab and D. Michie: "Generating Rules from Examples", Proc. IJCAI-85 (Los Angeles, CA, 1985) pag. 631–633.

    Google Scholar 

  9. -B.G. Buchanan and T. Mitchell: "Model-directed Learning of Production Rules", in ‘Pattern-Directed Inference Systems', D.A. Waterman and F. Hayes-Roth (Ed.s), Academic Press, (1978), pag. 297–312.

    Google Scholar 

  10. -S.A. Vere: "Multilevel Counterfactuals for Generalizations of Relational Concepts and Productions", Artificial Intelligence, 14, 139–164, (1980).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. C.E.N.S. - Dipartimento di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy

    S. Frediani

  2. Dipartimento di Informatica, Universita` di Torino, Corso Svizzera 185, 10149, Torino, Italy

    L. Saitta

Authors
  1. S. Frediani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. L. Saitta
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

B. Bouchon R. R. Yager

Rights and permissions

Reprints and permissions

Copyright information

© 1987 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Frediani, S., Saitta, L. (1987). Knowledge base organization in expert systems. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_21

Download citation

  • DOI: https://doi.org/10.1007/3-540-18579-8_21

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18579-6

  • Online ISBN: 978-3-540-48020-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation