DocumentCode :
1401019
Title :
Design and implementation of a semantic query optimizer
Author :
Shenoy, Sreekumar T. ; Ozsoyoglu, Zehra Meral
Author_Institution :
Dept. of Comput. Eng. & Sci., Case Western Reserve Univ., Cleveland, OH, USA
Volume :
1
Issue :
3
fYear :
1989
fDate :
9/1/1989 12:00:00 AM
Firstpage :
344
Lastpage :
361
Abstract :
The authors describe a scheme to utilize semantic knowledge in optimizing a user-specified query. The semantics is represented as function-free clauses in predicate logic. The scheme uses a graph-theoretic approach to identify redundant joins and restrictions present in a given query while adding additional profitable specifications to it. Dynamic and heuristic interaction of three entities-schema, semantics, and query-forms the basis of the algorithm. The implementation architecture of the algorithm and test results on a representative set of data are presented. Issues associated with updating of semantic constraints are addressed, and an algorithm for semantic maintenance is introduced
Keywords :
graph theory; optimisation; relational databases; function-free clauses; graph-theoretic approach; predicate logic; redundant joins; schema; semantic knowledge; semantic maintenance; semantic query optimizer; semantics; user-specified query; Clustering algorithms; Computer interfaces; Constraint theory; Database languages; Design optimization; Graph theory; Logic; Query processing; Relational databases; Testing;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.87980
Filename :
87980
Link To Document :
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