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About this book
Existence of huge amounts of data on the Web has developed an
undeferring need to locate right information at right time, as well as
to integrating information effectively to provide a comprehensive
source of relevant information.
There is a need to develop efficient tools for analyzing and managing
Web data, and efficiently managing Web information from the database
perspective. The book proposes a data model called WHOM (Warehouse
Object Model) to represent HTML and XML documents in the warehouse. It
defines a set of web algebraic operators for building new web tables
by extracting relevant data from the Web, as well as generating new
tables from existing ones. These algebraic operators are used for
change detection.
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Keywords
Table of contents (12 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Web Data Management
Book Subtitle: A Warehouse Approach
Authors: Sourav S. Bhowmick, Wee Keong Ng, Sanjay K. Madria
Series Title: Springer Professional Computing
DOI: https://doi.org/10.1007/b97475
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-0-387-00175-3Due: 07 November 2003
Softcover ISBN: 978-1-4419-1806-2Published: 14 December 2011
eBook ISBN: 978-0-387-21781-9Published: 09 May 2006
Edition Number: 1
Number of Pages: XXI, 465
Number of Illustrations: 35 b/w illustrations
Topics: Database Management, Information Systems and Communication Service, Information Storage and Retrieval, Multimedia Information Systems