Web Data Management

A Warehouse Approach
Softcover Nachdruck of the original 1. Auflage 2004
ISBN: 978-1-4419-1806-2
Verlag: Springer

Buch, Englisch, 465 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 909 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.

Ng, Wee K.

Madria, Sanjay K.

Fachgebiete

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

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.