Web Data Management: A Warehouse Approach by Sourav S. Bhowmick (English) Paperb

Description: Web Data Management by Sourav S. Bhowmick, Sanjay K. Madria, Wee K. Ng 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Notes A detailed presentation of Web data-management methods and models.The focus is on foundation concepts and a warehouse approach thatutilizes a warehouse object model to represent HTML and XML documents.Excellent survey of current principles for structured Web-based datamanagement. Database management systems developers and enterprisewebsite developers will find the book a useful exposition of newconcepts and application models. Back Cover 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 data--and 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 Table of Contents 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. Promotional Springer Book Archives Long Description 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. Description for Sales People A detailed presentation of Web data-management methods and models.The focus is on foundation concepts and a warehouse approach thatutilizes a warehouse object model to represent HTML and XML documents.Excellent survey of current principles for structured Web-based datamanagement. Database management systems developers and enterprisewebsite developers will find the book a useful exposition of newconcepts and application models. Details ISBN144191806X Author Wee K. Ng Series Springer Professional Computing Language English ISBN-10 144191806X ISBN-13 9781441918062 Media Book Format Paperback DEWEY 004 Pages 465 Short Title WEB DATA MGMT SOFTCOVER REPRIN Year 2011 Publication Date 2011-12-14 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States Subtitle A Warehouse Approach DOI 10.1007/978-0-387-21781-9 AU Release Date 2011-12-14 NZ Release Date 2011-12-14 US Release Date 2011-12-14 UK Release Date 2011-12-14 Publisher Springer-Verlag New York Inc. Edition Description Softcover reprint of the original 1st ed. 2004 Alternative 9780387001753 Audience Professional & Vocational Illustrations 35 Illustrations, black and white; XXI, 465 p. 35 illus. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96282849;

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