Query optimization in XML based information integration for queries involving aggregation and group by.

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Wejdan Abdullah Alkaldi (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Fereidoon Sadri

Abstract: This thesis addresses optimization and processing of queries involving aggregation and group-by in the semantic-model approach to information integration. Query processing algorithms materialization, subqueries, and wrapper have been extended for such aggregate queries. Algorithms have been presented for two cases: In the first case information at different sources are disjoint, while in the second case information sources may contain overlapping information.

Additional Information

Language: English
Date: 2009
Information integration, Overlapping information, Query optimization
Computer algorithms.
Electronic data processing.
Querying (Computer science)
XML (Document markup language)

Email this document to