DocumentCode :
2865360
Title :
A Comprehension-Based Approach for Query Optimization
Author :
Fan, Hao ; Chen, Gang
Author_Institution :
Wuhan Univ., Wuhan
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
254
Lastpage :
257
Abstract :
Comprehensions are a good query notation for database programming languages (DBPLs), which subsume query languages such as SQL and OQL in expressiveness. The AutoMed IQL is an intermediate query language based on comprehensions, which can be used to define the semantic relationships between schemas constructs. In this paper, we emphasize the query optimization problem for IQL queries. Since IQL can be smoothly integrated into several DBPLs, our approach is expected to be applied to semantic web environments.
Keywords :
database management systems; query languages; query processing; comprehension-based approach; database programming language; intermediate query language; query optimization; schema construct; semantic Web; semantic relationship; Algebra; Cost function; Data mining; Data models; Database languages; Diversity reception; Erbium; Query processing; Semantic Web; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
Type :
conf
DOI :
10.1109/SKG.2007.9
Filename :
4438543
Link To Document :
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