Web Data Management

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

ISBN 10: 0387001751 / ISBN 13: 9780387001753

Verlag: Springer, 2003

Beschreibung

This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Bestandsnummer des Verkäufers ABNR-93474

Bibliografische Details

• Titel: Web Data Management
• Verlag: Springer
• Erscheinungsjahr: 2003
• Sprache: Englisch
• ISBN-10: 0387001751
• ISBN-13: 9780387001753
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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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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