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A Prototype Expert Database System for Programming Classical Music

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Database and Expert Systems Applications

Abstract

This paper describes the design an implementation of a prototype expert database system for programming classical music, as a case study to demonstrate the applicability of using an expert database system approach to solve programming decisions. The paper describes the process of acquiring and representing expert knowledge; the development, testing, and implementation of the prototype; and the lessons learned during the course of developing the system.

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References

  1. B. G. Buchanan and E. H. Shortliffe, Rule-Based Expert Systems, Addison-Wesley, 1984.

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  2. D. N. Chorofas, Applying Expert Systems in Business, McGraw-Hill, 1987.

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  3. P. Harmon and I. King, Expert Systems: Artificial Intelligence in Business, John Wiley and Sons, 1985.

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  4. R. Hoffman, “A Survey Methods for Eliciting the Knowledge of Experts,” SIGART Newsletter, April 1989.

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  5. W. Ralandi, “Knowledge Engineering in Practice,” AI Expert, December 1986.

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© 1992 Springer-Verlag/Wien

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Kamel, M.N., Boxall, R.A. (1992). A Prototype Expert Database System for Programming Classical Music. In: Tjoa, A., Ramos, I. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7557-6_66

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  • DOI: https://doi.org/10.1007/978-3-7091-7557-6_66

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82400-9

  • Online ISBN: 978-3-7091-7557-6

  • eBook Packages: Springer Book Archive

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