IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v1y1990i2p144-167.html
   My bibliography  Save this article

Automated Construction of Knowledge-Bases from Examples

Author

Listed:
  • Kar Yan Tam

    (Department of Management Science and Information Systems, College and Graduate School of Business CBA 5.202, University of Texas at Austin, Austin, Texas 78712)

Abstract

The process of knowledge acquisition has long been regarded as the bottleneck in expert systems development. In this paper, a concept induction methodology for automated construction of knowledge-bases is presented and its use for knowledge acquisition is discussed. The applicability of such a tool to build expert systems is demonstrated using CONIS in some selected experiments. CONIS is a concept induction system that infers concept description from sample instances of the concept. We have also compared CONIS with conventional statistical techniques in solving classification problems. The results suggest that concept induction could become be a viable tool to automate the process of knowledge acquisition. By shortening the development cycle, domains that were once too volatile for expert systems application would become feasible using such an automated aid.

Suggested Citation

  • Kar Yan Tam, 1990. "Automated Construction of Knowledge-Bases from Examples," Information Systems Research, INFORMS, vol. 1(2), pages 144-167, June.
    • Handle: RePEc:inm:orisre:v:1:y:1990:i:2:p:144-167
    DOI: 10.1287/isre.1.2.144
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.1.2.144
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.1.2.144?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Woodruff, David L., 1998. "Proposals for chunking and tabu search," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 585-598, April.
    2. Hyung‐Min Michael Chung & Kar Yan Tam, 1993. "A Comparative Analysis of Inductive‐Learning Algorithms," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 2(1), pages 3-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:1:y:1990:i:2:p:144-167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.