Web Data Management
A Warehouse Approach
(Sprache: Englisch)
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...
to integrating information effectively to provide a comprehensive source of relevant information.
There is a need to...
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Klappentext zu „Web Data Management “
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.
Inhaltsverzeichnis zu „Web Data Management “
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.- Web Data Visualization.-Detecting and representing Relevante Web Deltas.-Knowledge Discovery Using Web Bags.-The Road Ahead.-References.-Index.
Bibliographische Angaben
- Autoren: Sourav S. Bhowmick , Sanjay K. Madria , Wee K. Ng
- 2003, 465 Seiten, mit Abbildungen, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 0387001751
- ISBN-13: 9780387001753
Sprache:
Englisch
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