Web Data Management

A Warehouse Approach
2004. Auflage 2003
ISBN: 978-0-387-00175-3
Verlag: Springer

Buch, Englisch, 465 Seiten, Format (B × H): 185 mm x 245 mm, Gewicht: 983 g

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Bhowmick, Sourav S

Madria, Sanjay K

Ng, Wee K

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbanken & das Web
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

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.