Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng

Web Data Management

A Warehouse Approach

• Broschiertes Buch

Produktbeschreibung

Existence of huge amounts of data on the Web has developed anundeferring need to locate right information at right time, as well asto integrating information effectively to provide a comprehensivesource of relevant information.There is a need to develop efficient tools for analyzing and managingWeb data, and efficiently managing Web information from the databaseperspective. The book proposes a data model called WHOM (WarehouseObject Model) to represent HTML and XML documents in the warehouse. Itdefines a set of web algebraic operators for building new web tablesby extracting relevant data from the Web, as well as generating newtables from existing ones. These algebraic operators are used forchange detection.

Produktdetails

• Springer Professional Computing
• Verlag: Springer, Berlin
• Softcover reprint of the original 1st ed. 2004
• Seitenzahl: 488
• Erscheinungstermin: 14. Dezember 2011
• Englisch
• Abmessung: 254mm x 178mm x 27mm
• Gewicht: 909g
• ISBN-13: 9781441918062
• ISBN-10: 144191806X
• Artikelnr.: 32169898

Inhaltsangabe

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.

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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.