Web Data Management: A Warehouse Approach

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

Overview

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.

Product Details

ISBN-13:	9781441918062
Publisher:	Springer New York
Publication date:	12/14/2011
Series:	Springer Professional Computing
Edition description:	Softcover reprint of the original 1st ed. 2004
Pages:	465
Product dimensions:	6.70(w) x 9.50(h) x 1.20(d)

Table of Contents

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.