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Web data managementa warehouse appro...

Bhowmick, Sourav S.

Web data managementa warehouse approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Web data management/ Sourav S. Bhowmick, Sanjay K. Madria, Wee Keong Ng.
Reminder of title:	a warehouse approach /
Author:	Bhowmick, Sourav S.
other author:	Madria, Sanjay Kumar.
Published:	New York :Springer,c2004.
Description:	1 online resource (xxi, 465 p.) :ill.
Subject:	Web databases. -
Online resource:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0387217819 (electronic bk.)
ISBN:	9780387217819 (electronic bk.)

Web data managementa warehouse approach /
Bhowmick, Sourav S.

Web data managementa warehouse approach /[electronic resource] :Sourav S. Bhowmick, Sanjay K. Madria, Wee Keong Ng. - New York :Springer,c2004. - 1 online resource (xxi, 465 p.) :ill. - Springer professional computing. - Springer professional computing..

Includes bibliographical references (p. [449]-458) and index.

Introduction : motivation ; architecture and functionalities -- 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.

The existence of huge data volume on the Web has fueled an unrelenting need to locate "right information at right time," as well as to effectively develop an integrated, comprehensive information source. This calls for tools for efficiently analyzing and managing web dataand for efficiently managing web information from the database perspective. This comprehensive resource presents a data model called WHOM (WareHouse Object Model) to represent HTML and XML documents in the warehouse. The book 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. Its "web-warehouse approach" incorporates modern and effective shared web data-management concepts, methods, and models. Features & Benefits: *Presents a simple and generic data model for representing metadata, structure, and content of Web documents and hyperlinks *Addresses schema-related issues for both HTML and XML data, with their associated challenges of irregularity and heterogeneity *Describes a web algebra for manipulating warehoused data *Utilizes numerous examples to illustrate various concepts of web data management and to simplify all key issues for readers *Highlights change management and knowledge discovery, two important applications of a web warehouse With its accessible style and emphasis on practicality, the book delivers an excellent survey of all current principles for structured, web-based data management technologies. Database management systems developers, enterprise website developers, and applied R&D researchers will find the work an essential companion for new concepts, development strategies, and application models. Key Topics: >> Node and link objects >> Comparison predicates >> Connectivities >> Coupling-query formulation >> Web schema >> WHOM (WareHouse Object Model) >> Schema generation and pruning >> Data visualization >> Web deltas & web bags >> Knowledge-discovery applications -- Databases / Information Systems -- Beginning / Intermediate.

ISBN: 0387217819 (electronic bk.)

LCCN: 2003050523

Nat. Bib. No.: GBA3-T7671Subjects--Topical Terms:

152138
Web databases.
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: QA76.9.W43 / B46 2004eb

Dewey Class. No.: 005.75/8

Web data managementa warehouse approach /
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300 $a 1 online resource (xxi, 465 p.) : $b ill.
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504 $a Includes bibliographical references (p. [449]-458) and index.
505 0 $a Introduction : motivation ; architecture and functionalities -- 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.
520 $a The existence of huge data volume on the Web has fueled an unrelenting need to locate "right information at right time," as well as to effectively develop an integrated, comprehensive information source. This calls for tools for efficiently analyzing and managing web dataand for efficiently managing web information from the database perspective. This comprehensive resource presents a data model called WHOM (WareHouse Object Model) to represent HTML and XML documents in the warehouse. The book 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. Its "web-warehouse approach" incorporates modern and effective shared web data-management concepts, methods, and models. Features & Benefits: *Presents a simple and generic data model for representing metadata, structure, and content of Web documents and hyperlinks *Addresses schema-related issues for both HTML and XML data, with their associated challenges of irregularity and heterogeneity *Describes a web algebra for manipulating warehoused data *Utilizes numerous examples to illustrate various concepts of web data management and to simplify all key issues for readers *Highlights change management and knowledge discovery, two important applications of a web warehouse With its accessible style and emphasis on practicality, the book delivers an excellent survey of all current principles for structured, web-based data management technologies. Database management systems developers, enterprise website developers, and applied R&D researchers will find the work an essential companion for new concepts, development strategies, and application models. Key Topics: >> Node and link objects >> Comparison predicates >> Connectivities >> Coupling-query formulation >> Web schema >> WHOM (WareHouse Object Model) >> Schema generation and pruning >> Data visualization >> Web deltas & web bags >> Knowledge-discovery applications -- Databases / Information Systems -- Beginning / Intermediate.
588 $a Description based on print version record.
650 0 $a Web databases. $3 152138
650 0 $a Database management. $3 146657
650 0 $a Data warehousing. $3 147169
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700 1 $a Madria, Sanjay Kumar. $3 1000063730
700 1 $a Ng, Wee Keong. $3 1000063731
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