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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
B. G. Buchanan and E. H. Shortliffe, Rule-Based Expert Systems, Addison-Wesley, 1984.
D. N. Chorofas, Applying Expert Systems in Business, McGraw-Hill, 1987.
P. Harmon and I. King, Expert Systems: Artificial Intelligence in Business, John Wiley and Sons, 1985.
R. Hoffman, “A Survey Methods for Eliciting the Knowledge of Experts,” SIGART Newsletter, April 1989.
W. Ralandi, “Knowledge Engineering in Practice,” AI Expert, December 1986.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer-Verlag/Wien
About this paper
Cite this paper
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
Download citation
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