000			01919cam a22002414a 4500
001			vtls000002540
003			VRT
005			20250102222823.0
008			081130s2005 nyua |b 001 0 eng
020			_a0387235671 (alk. paper)
020			_a038723568X (e-book)
039		9	_a201402040101 _bVLOAD _c201010091119 _dmalmash _c200812021432 _dvenkatrajand _c200811301137 _dNoora _y200811301135 _zNoora
050	0	0	_aQA76.9.D3 _bL56545 2005
100	1		_aLing, Tok Wang. _910609
245	1	0	_aSemistructured Database Design / _cTok Wang Ling, Mong Li Lee, Gillian Dobbie.
260			_aNew York : _bSpringer, _cc2005.
300			_axvi, 177 p. : _bill. ; _c25 cm.
440		0	_aWeb information systems engineering and Internet technologies _910610
504			_aIncludes bibliographical references (p. [169]-171) and index.
505			_aIntroduction.- Data models for semistructured data.- ORA-SS.- Schema extraction.- Normalization.- Views.- Physical Database design.- Conclusion.- Appendix: an ORA-SS notation.
520			_aSemistructured Database Design provides an essential reference for anyone interested in the effective management of semsistructured data. Since many new and advanced web applications consume a huge amount of such data, there is a growing need to properly design efficient databases. This volume responds to that need by describing a semantically rich data model for semistructured data, called Object-Relationship-Attribute model for Semistructured data (ORA-SS). Focusing on this new model, the book discusses problems and presents solutions for a number of topics, including schema extraction, the design of non-redundant storage organizations for semistructured data, and physical semistructured database design, among others. Semistructured Database Design presents researchers and professionals with the most complete and up-to-date research in this fast-growing field.
942			_2lcc _n0 _cBK
999			_c3793 _d3793