Web Data Management: A Warehouse Approach
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.
1110788966
Web Data Management: A Warehouse Approach
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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Web Data Management: A Warehouse Approach
465
Web Data Management: A Warehouse Approach
465Paperback(Softcover reprint of the original 1st ed. 2004)
$99.00
99.0
In Stock
Product Details
ISBN-13: | 9781441918062 |
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Publisher: | Springer New York |
Publication date: | 12/14/2011 |
Series: | Springer Professional Computing |
Edition description: | Softcover reprint of the original 1st ed. 2004 |
Pages: | 465 |
Product dimensions: | 6.70(w) x 9.50(h) x 1.20(d) |
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