Web Data Management: A Warehouse Approach

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...

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Paperback (Softcover reprint of the original 1st ed. 2004)
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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.

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Product Details

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

Table of Contents

* Introduction
• 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
• Applications of Web warehouses
• Concluding remarks
• Index

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