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Semistructured Database Design / Tok Wang Ling, Mong Li Lee, Gillian Dobbie.

By: Material type: TextTextSeries: Web information systems engineering and Internet technologiesPublication details: New York : Springer, c2005.Description: xvi, 177 p. : ill. ; 25 cmISBN:
  • 0387235671 (alk. paper)
  • 038723568X (e-book)
LOC classification:
  • QA76.9.D3 L56545 2005
Contents:
Introduction.- Data models for semistructured data.- ORA-SS.- Schema extraction.- Normalization.- Views.- Physical Database design.- Conclusion.- Appendix: an ORA-SS notation.
Summary: Semistructured 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.
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Books Library First Floor 1 Available 11242

Includes bibliographical references (p. [169]-171) and index.

Introduction.- Data models for semistructured data.- ORA-SS.- Schema extraction.- Normalization.- Views.- Physical Database design.- Conclusion.- Appendix: an ORA-SS notation.

Semistructured 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.

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