To Develop A Data-Knowledge Base Management System By Utilizing Relational Database Management Systems

Han-lin Li

doi:10.1117/12.938496

6 April 1987 To Develop A Data-Knowledge Base Management System By Utilizing Relational Database Management Systems

Han-lin Li

Author Affiliations +

Proceedings Volume 0657, Applications of Artificial Intelligence IV; (1987) https://doi.org/10.1117/12.938496
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria

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.

Citation Download Citation

Han-lin Li "To Develop A Data-Knowledge Base Management System By Utilizing Relational Database Management Systems", Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); https://doi.org/10.1117/12.938496

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE