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.

Describes 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 present 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 Includes supplementary material: sn.pub/extras

Klappentext

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.

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