Semistructured Database Design

ISBN-13: 9781441936387 / Angielski / Miękka / 2010 / 178 str.

Tok Wang Ling; Gillian Dobbie

Opis

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.

Recenzje

From the reviews of the first edition:

"This book covers schema extraction from an Extensible Markup Language (XML) data instance, algorithmic normalization of that schema ... and the discussion of relaxing the normalization to effect more efficient retrievals. ... Database designers and students are obvious targets for this book ... . The book is easy to read, and provides an approach to a very practical contemporary problem. The authors have organized their material for easy reading." (E.A. Unger, Computing Reviews, April, 2005)

"Semistructured data are especially applied in web-applications. ... The book is written in English. It is recommended to both practitioners and researchers/students, who have to deal with the design and storage organization of semistructured data." (Waltraud Gerhardt, Zentralblatt MATH, Vol. 1076, 2006)

Spis treści

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

O autorze

Here is 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 discuss problems and present solutions for a number of topics, including schema extraction, the design of non-redundant storage organizations for semistructured data, and physical semsitructured database design, among others.