Web Data Management

A Warehouse Approach

Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng

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English

Springer-Verlag New York Inc.
14 December 2011

Graphical & digital media applications; Network hardware; Databases; Data warehousing; Information retrieval

Series: Springer Professional Computing

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.

By: Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: Softcover reprint of the original 1st ed. 2004
Dimensions: Height: 254mm, Width: 178mm, Spine: 25mm
Weight: 920g
ISBN: 9781441918062
ISBN 10: 144191806X
Series: Springer Professional Computing
Pages: 465
Publication Date: 14 December 2011
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

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.