@article{(Open Science Index):https://publications.waset.org/pdf/12639,
	  title     = {XML Data Management in Compressed Relational Database},
	  author    = {Hongzhi Wang and  Jianzhong Li and  Hong Gao},
	  country	= {},
	  institution	= {},
	  abstract     = {XML is an important standard of data exchange and
representation. As a mature database system, using relational database
to support XML data may bring some advantages. But storing XML in
relational database has obvious redundancy that wastes disk space,
bandwidth and disk I/O when querying XML data. For the efficiency
of storage and query XML, it is necessary to use compressed XML
data in relational database. In this paper, a compressed relational
database technology supporting XML data is presented. Original
relational storage structure is adaptive to XPath query process. The
compression method keeps this feature. Besides traditional relational
database techniques, additional query process technologies on
compressed relations and for special structure for XML are presented.
In this paper, technologies for XQuery process in compressed
relational database are presented..},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {12},
	  year      = {2008},
	  pages     = {4210 - 4216},
	  ee        = {https://publications.waset.org/pdf/12639},
	  url   	= {https://publications.waset.org/vol/24},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 24, 2008},
	}