
Web Data Management
A Warehouse Approach
Springer (Publisher)
Published on 7. November 2003
Book
Hardback
XXI, 465 pages
978-0-387-00175-3 (ISBN)
Description
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.
More details
Series
Edition
2004 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
35 s/w Abbildungen
XXI, 465 p. 35 illus.
Dimensions
Height: 245 mm
Width: 185 mm
Thickness: 29 mm
Weight
983 gr
ISBN-13
978-0-387-00175-3 (9780387001753)
DOI
10.1007/b97475
Schweitzer Classification
Other editions
Additional editions

Book
12/2011
Springer
€78.06
Shipment within 15-20 days

E-Book
05/2006
Springer
€76.99
Available for download
Content
A Survey of Web Data Management Systems.- Node and Link Objects.- Predicates on Node and Link Objects.- Imposing Constraints on Hyperlink Structures.- Query Mechanism for the Web.- Schemas for Warehouse Data.- WHOM-Algebra.- Web Data Visualization.- Detecting and Representing Relevant Web Deltas.- Knowledge Discovery Using Web Bags.- The Road Ahead.