Web data management

A warehouse approach

Sourav S. Bhowmick, Sanjay Kumar Madria, Wee Keong Ng - Collection Springer Professional Computing

484 pages, parution le 17/12/2003

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Résumé

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.

Introduction
A Survey of Web data management systems
Node and link objects
Predicate on node and link objects
Imposing constraints on hyperlink structure
Query mechanism for the Web
Schemas for warehouse data
WHOM-algebra
Web data visualization
Detecting and representing relevant Web data
Knowledge discovery using Web bags
The road ahead
References
Index

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Sourav S. Bhowmick, Sanjay Kumar Madria, Wee Keong Ng
Collection	Springer Professional Computing
Parution	17/12/2003
Nb. de pages	484
Format	18,5 x 24
Couverture	Relié
Poids	975g
Intérieur	Noir et Blanc
EAN13	9780387001753
ISBN13	978-0-387-00175-3