Title :
Object-Based Methodology for XML Data Partitioning (OXDP)
Author :
AlGhamdi, Norah ; Rahayu, Wenny ; Pardede, Eric
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng, LaTrobe Univ., Melbourne, VIC, Australia
Abstract :
Due to the growing use of XML data format in global information, an effective XML data management system is needed. An Enabled XML DB is one of the recent widely accepted approaches to store XML documents. This ability coupled with the increase use of XML data in different areas have triggered the need for a better method to structure a large data in order to improve query performance. Issues concerning the ways to efficiently partition large XML documents into a more manageable form are yet to be addressed. At the same time, it is essential to ensure that the partitioning method maintains the preservation of XML data hierarchical structure. For this reason, this paper introduces OXDP that structures large XML data logically by partitioning them into object based XML components. An evaluation is shown to demonstrate the effectiveness of OXDP in XML partitioning which subsequently has the potential of improving query performance in Enabled XML DB environments.
Keywords :
XML; database management systems; query processing; storage management; XML DB; XML data management system; XML data partitioning; XML documents; object based methodology; query performance; Navigation; Optimization; Partitioning algorithms; Relational databases; Semantics; XML; Enabled XML database; Objects; Partitioning; XML data;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2011 IEEE International Conference on
Conference_Location :
Biopolis
Print_ISBN :
978-1-61284-313-1
Electronic_ISBN :
1550-445X
DOI :
10.1109/AINA.2011.41