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

Por:

Ling, Tok Wang [autor]

Colaborador(es):

Tipo de material: Texto

TextoSeries Web Information Systems Engineering and Internet Technologies Book Series ; 1Editor: Boston, MA : Springer US, 2005Descripción: XVI, 177 páginas, recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9780387235684

Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:

QA76.9.D35

Recursos en línea:

Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)

Contenidos:

Data Models for Semistructured Data -- ORA-SS -- Schema Extraction -- Normalization -- Views -- Physical Database Design -- Conclusion.

Resumen: 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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Springer eBooks

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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