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