Sourav S. Bhowmick

Web Data Management - Springer Professional Computing Sourav S. Bhowmick Softcover Reprint of the Original 1st Ed. 2004 edition

Description for Sales People: A detailed presentation of Web data-management methods and models. The focus is on foundation concepts and a 'warehouse approach' that utilizes a warehouse object model to represent HTML and XML documents. Excellent survey of current principles for structured Web-based data management. Database management systems developers and enterprise website developers will find the book a useful exposition of new concepts and application models. Table of Contents: * 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 * Applications of Web warehouses * Concluding remarks * IndexJacket Description/Back: 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 "Marc Notes: Originally published: 2003.; Includes bibliographical references and index.; Designed to be accessible to readers who have partial or no knowledge of the issues involved in Web data management, this title provides numerous examples to illustrate the various concepts of Web data management.