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Knowledge engineering revisited

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Abstract

About six years ago a paper on Knowledge Engineering was published in this Journal. This paper attempts to extend and elaborate on the ideas and concepts discussed earlier. Four major problems are addressed: Preservation of knowledge, proliferation of knowledge, dissemination of knowledge, and application of knowledge. The design principles for both rule-based expert systems and pattern-directed expert systems are discussed and compared.

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References

  1. J. T. Tou, Knowledge Engineering,Int. J. of Comp. and Inf. Sci. 9(4):275–285 (1980).

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  2. G. Salton,Automatic Information Organization and Retrieval, McGraw-Hill, New York (1968).

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  3. W. S. Jevons,The Principles of Science: A Treatise on Logic and Scientific Method, Dover Publishing Company, New York (1958).

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  6. B. G. Buchanan and E. H. Shortliffe,Rule-Based Expert Systems, Addison-Wesley Publishing Company, Reading, Massachusetts (1984).

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  8. J. T. Tou and J. M. Cheng, Design of a Computer-Based Expert System for Applications in Agriculture,Proc. of the IEEE Symp. on Automating Intelligent Behavior (1983).

  9. J. T. Tou, Application of Pattern Recognition to Knowledge System Design and Diagnostic Inference, inPattern Recognition Theory and Applications, J. Kittler, K. S. Fu, and L. F. Pau (eds.), D. Reidel Publishing Company (1982).

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Authors and Affiliations

  1. Center for Information Research, University of Florida, Gainesville, Florida

    Julius T. Tou

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  1. Julius T. Tou
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Tou, J.T. Knowledge engineering revisited. International Journal of Computer and Information Sciences 14, 123–133 (1985). https://doi.org/10.1007/BF00991002

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  • DOI: https://doi.org/10.1007/BF00991002

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