DocumentCode :
3429938
Title :
Semantic query optimization for object databases
Author :
Gran, J. ; Gryz, J. ; Minker, J. ; Raschid, L.
Author_Institution :
Dept. of Comput. & Inf. Sci., Towson State Univ., MD, USA
fYear :
1997
fDate :
7-11 Apr 1997
Firstpage :
444
Lastpage :
453
Abstract :
Presents a technique for semantic query optimization (SQO) for object databases. We use the ODMG-93 (Object Data Management Group) standard ODL (Object Database Language) and OQL (Object Query Language) languages. The ODL object schema and the OQL object query are translated into a DATALOG representation. Semantic knowledge about the object model and the particular application is expressed as integrity constraints. This is an extension of the ODMG-93 standard. SQO is performed in the DATALOG representation, and an equivalent logic query and (subsequently) an equivalent OQL object query are obtained. SQO is based on the residue technique of Chakravarthy et al. (1990). We show that our technique generalizes previous research on SQO for object databases. It can be applied to queries with structure constructors and method application. It utilizes integrity constraints about keys, methods and knowledge of access support relations, to produce equivalent queries, which may have more efficient evaluation plans
Keywords :
DATALOG; data integrity; data structures; object-oriented databases; object-oriented languages; query processing; software standards; DATALOG representation; ODL object schema; ODMG-93 standard; OQL object query; access support relations; equivalent logic query; integrity constraints; keys; method application; object databases; query evaluation plans; residue technique; semantic query optimization; structure constructors; Computer science; Constraint optimization; Deductive databases; Educational institutions; Logic; Optimization methods; Query processing; Relational databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1997. Proceedings. 13th International Conference on
Conference_Location :
Birmingham
ISSN :
1063-6382
Print_ISBN :
0-8186-7807-0
Type :
conf
DOI :
10.1109/ICDE.1997.581983
Filename :
581983
Link To Document :
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