Intelligent database design diagnosis: Performance assessment with the provision of domain knowledge

被引：2

作者：

Noah, SA ^{[1
]}

Williams, MD

机构：

[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Bangi 43600, Selangor, Malaysia

[2] Univ Coll Swansea, Sch Business & Management, Swansea SA2 8PP, W Glam, Wales

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2004年 / 21卷 / 01期

关键词：

conceptual modelling; database design; design diagnosis; intelligent system; knowledge representation; testing and evaluation;

D O I：

10.1023/B:AIRE.0000007390.82370.31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Techniques for representing and exploiting domain knowledge (such as the dictionary, thesaurus and knowledge reconciliation techniques) have long been used by intelligent database design tools when performing the task of design synthesis. However, the capacity of these techniques to enhance the diagnostic capabilities of intelligent database design tools has yet to be explored and evaluated. This paper presents such an evaluation, focusing upon the aforementioned techniques of dictionary, thesaurus and knowledge reconciliation. Results obtained from this investigation suggest that use of these techniques has the potential to increase the diagnostic capabilities of intelligent database design tools by facilitating detection and resolution of design inconsistencies that would remain undiscovered in situations where such system-held domain knowledge was not available.

引用

页码：57 / 84

页数：28

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