To develop a data-knowledge base management system by utilizing relational database management systems

Han-Lin Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)82-89
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume657
DOIs
StatePublished - 9 Apr 1987

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