Web Data Management
A Warehouse Approach
Published on 9. May 2006
XXI, 465 pages
978-0-387-21781-9 (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
Other editions
Additional editions
Book
12/2011
Springer
€78.06
Shipment within 15-20 days
Book
11/2003
Springer
€78.06
Shipment within 5-7 days
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.
