Semistructured Database Design [electronic resource] /
Ling, Tok Wang.author.
Dobbie, Gillian.author.(orcid)0000-0001-7245-0367https://orcid.org/0000-0001-7245-0367aut
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.
Description based upon print version of record.
Includes bibliographical references (p. [169]-171) and index.
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.
Data structures (Computer science).
Computers.
Database management.
Information storage and retrieval.
Data Structures and Information Theory.
Theory of Computation.
Database Management.
Data Storage Representation.
Information Storage and Retrieval.