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Semistructured Database Design [recurso electrónico] / by Tok Wang Ling, Mong Li Lee, Gillian Dobbie.

By: Contributor(s): Material type: TextSeries: Web Information Systems Engineering and Internet Technologies Book Series ; 1Publisher: Boston, MA : Springer US, 2005Description: XVI, 177 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • recurso en línea
ISBN:
  • 9780387235684
  • 99780387235684
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.74 23
Online resources:
Contents:
Data Models for Semistructured Data -- ORA-SS -- Schema Extraction -- Normalization -- Views -- Physical Database Design -- Conclusion.
In: Springer eBooksSummary: 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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Data Models for Semistructured Data -- ORA-SS -- Schema Extraction -- Normalization -- Views -- Physical Database Design -- Conclusion.

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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