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An Approach to Designing an Expert System Through Knowledge Organization

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Expert System Applications

Part of the book series: Symbolic Computation ((1064))

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Abstract

KORG (Knowledge ORGanization) is an approach to establishing an expert system. Its tasks are concerned with the following: (1) An expert system consists of both the domain expert’s knowledge and the AI expert’s knowledge. (2) These two sorts of knowledge have to be mapped to a set of symbols in a computer. (These symbols are called CONCEPTS in this paper.) They are combined in terms of rules (called the connections of the semantic network). (3) Any of these concepts may be described either by other concepts or by constants which are also concepts. Based on these points, a kind of semantic network, with semantic attributes and relational attributes is presented to represent the expert s knowledge. An algorithm called DESCRIBE is also proposed. It changes this knowledge into the semantic network. An automatic programmer, in which the connections of the semantic network serve as knowledge, transforms the semantic network into an expert system program.

In order to support the approach, some tools are presented: ETL (Expert Tool Language), ETN (Expert Tool Network), and ETAP (Expert Tool Automatic Programmer).

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Author information

Authors and Affiliations

  1. Institute of Automation, Academia Sinica, Beijing, China

    Jue Wang

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  1. Jue Wang
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, PKiN, pok. 1050, Warsaw, Poland

    Leonard Bolc

  2. Computing Research Laboratory, New Mexico State University, P.O. Box 30001, Las Cruces, NM, 88003, USA

    Michael J. Coombs

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© 1988 Springer-Verlag Berlin Heidelberg

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Wang, J. (1988). An Approach to Designing an Expert System Through Knowledge Organization. In: Bolc, L., Coombs, M.J. (eds) Expert System Applications. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83314-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-83314-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83316-8

  • Online ISBN: 978-3-642-83314-4

  • eBook Packages: Springer Book Archive

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