Abstract
Semantic knowledge has often been employed to enforce relational database integrity. It also offers the opportunity to transform a query into a semantically equivalent query that is potentially more efficiently processed than the original query. This paper describes a knowledge-based transformation approach that utilizes semantic integrity constraints and transformation heuristics to reduce query processing costs. Implementation in the form of an intelligent system, QUOTA, is also presented.
Recommended Citation
Haseman, William; Lin, Tung-Ching; and Nazareth, Derek, "An Intelligent Approach to Semantic Query Processing" (1999). AMCIS 1999 Proceedings. 18.
https://aisel.aisnet.org/amcis1999/18
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