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Enhancing the Diagnostic Performance of Intelligent Database Design Tools - An Evaluation of the thesaurus Technique
Paper Type  |
Contributed Paper |
Title |
Enhancing the Diagnostic Performance of Intelligent Database Design Tools - An Evaluation of the thesaurus Technique |
Author |
Shahrul A. Noah* and Michael Williams |
Email |
samn@ftsm.ukm.my |
|
Abstract: The thesaurus technique to representing and exploiting domain knowledge have been long used by intelligent database design tools when performing the task of design synthesis. However, the capacity of such a representation of knowledge to enhance the diagnostic performance of the intelligent database design tools has yet to be explored and evaluated. This paper presents such and evaluation, focusing upon three aspects: processing efficiency. system's appearance of intelligence and quality of design output. Findings suggest that the us of this technique has the potential to increase the tool's performance in detecting inconsistencies that would remain undiscovered in situations where system-held domain knowledge was not available and reducing the processing complexities associated in diagnosing such inconsistencies.
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Start & End Page |
7 - 17 |
Received Date |
2002-09-21 |
Revised Date |
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Accepted Date |
2003-01-15 |
Full Text |
Download |
Keyword |
intelligent systems, database design, knowledge representation |
Volume |
Vol.30 No.1 (APRIL 2003) |
DOI |
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Citation |
Noah S.A. and Williams M., Enhancing the Diagnostic Performance of Intelligent Database Design Tools - An Evaluation of the thesaurus Technique, Chiang Mai J. Sci., 2003; 30(1): 7-17. |
SDGs |
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