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Semistructured Database Design

By: Ling, Tok Wang [author.].
Contributor(s): Lee, Mong Li [author.] | Dobbie, Gillian [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Web Information Systems Engineering and Internet Technologies Book Series: 1Publisher: Boston, MA : Springer US, 2005.Description: XVI, 178 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387235684.Subject(s): Computer science | Data structures (Computer science) | Computers | Database management | Information storage and retrieval | Computer Science | Data Structures, Cryptology and Information Theory | Theory of Computation | Database Management | Data Storage Representation | Information Storage and RetrievalDDC classification: 005.74 Online resources: Click here to access online
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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E books E books PK Kelkar Library, IIT Kanpur
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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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