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Partitioning methods for multi-version XML data warehouses
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Partitioning methods for multi-version XML data warehouses
Laura Irina Rusu1 , Wenny Rahayu1 and David Taniar2 
| (1) |
Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, VIC, 3086, Australia |
| (2) |
Clayton School of Information Technology, Monash University, Clayton, VIC, 3800, Australia |
Published online: 20 February 2009
Communicated by Ladjel Bellatreche.
Abstract Due to an explosive increase of XML documents, it is imperative to manage XML data in an XML data warehouse. XML warehousing
imposes challenges, which are not found in the relational data warehouses. In this paper, we firstly present a framework to
build an XML data warehouse schema. For the purpose of scalability due to the increase of data volume, we propose a number
of partitioning techniques for multi-version XML data warehouses, including document based partitioning, schema based partitioning, and cascaded (mixed) partitioning model. Finally, we formulate cost models to evaluate various types of queries for an XML data warehouse.
Keywords Multi-version XML warehouse - Data partitioning - Data warehousing physical design - Storage for multi-version XML documents - XML data warehousing
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