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Proceedings Paper

To Develop A Data-Knowledge Base Management System By Utilizing Relational Database Management Systems
Author(s): Han-lin Li
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Paper Abstract

This paper aims to develop a data-knowledge base system for solving decision problems which involve large amount of data under some straightforward decision rules. This data-knowledge base system can handle both data and knowledge processes. It is the expansion of relational database systems under the control of relational - DBMS. To compare the performance of this system with coventional artificial intelligence programs, a typical decision problem is programmed and operated by both dBASE III and Micro-Prolog. The study's findings suggest that this proposed system has faster executing speed for solving decision problems which have large arrays data and can represent its decision rules by normalized relations.

Paper Details

Date Published: 6 April 1987
PDF: 13 pages
Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); doi: 10.1117/12.938496
Show Author Affiliations
Han-lin Li, National Chiao Tung University (China)

Published in SPIE Proceedings Vol. 0657:
Applications of Artificial Intelligence IV
John F. Gilmore, Editor(s)

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