Web Data Management
1st Edition
Published on 6. February 2012
978-1-139-21144-4 (ISBN)
Description
The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.
Reviews / Votes
'This book combines the unique strengths of the authors to create a beautiful coverage of the interplay between the underlying deep theory, practical algorithms, and software tools in use today for Web data management. It is destined to become the authoritative source for this topic for students and practitioners alike.' Susan B. Davidson, University of Pennsylvania 'Web data management is a broad field, and this text manages to cover it all while tying the material together brilliantly, conveying them as a single field rather than just a collection of independent topics. It succeeds in explaining both theory and practice - a difficult task that you do not often see accomplished in any field of computer science. It is a unique book that fills a pressing need.' Michael Benedikt, University of OxfordMore details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
78 Tables, unspecified; 7 Halftones, unspecified; 129 Line drawings, unspecified
File size
6223,05 MB
ISBN-13
978-1-139-21144-4 (9781139211444)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Serge Abiteboul | Ioana Manolescu | Philippe Rigaux
Web Data Management
Book
11/2011
Cambridge University Press
€73.10
Shipment within 15-20 days
Persons
Serge Abiteboul is a researcher at INRIA Saclay and ENS Cachan and co-founder of the start-up Xyleme. His previous books include the textbook Foundations of Databases. Ioana Manolescu is a researcher at INRIA Saclay and the scientific leader of the LEO team, joint between INRIA and University Paris XI. Philippe Rigaux is a Professor of Computer Science at the Conservatoire National des Arts et Metiers. He has co-authored six books, including Spatial Databases (2001). Marie-Christine Rousset is a Professor of Computer Science at the University of Grenoble. Pierre Senellart is an Associate Professor in the DBWeb team at Telecom ParisTech, the French leading engineering school specializing in information technology.
Content
Part I. Modeling Web Data: 1. Data model; 2. XPath and Xquery; 3. Typing; 4. XML query evaluation; 5. Putting into practice: managing an XML database with EXIST; 6. Putting into practice: tree pattern evaluation using SAX; Part II. Web Data Semantics and Integration: 7. Ontologies, RDF, and OWL; 8. Querying data through ontologies; 9. Data integration; 10. Putting into practice: wrappers and data extraction with XSLT; 11. Putting into practice: ontologies in practice Fabian M. Suchanek; 12. Putting into practice: mashups with YAHOO! PIPES and XProc; Part III. Building Web Scale Applications: 13. Web search; 14. An introduction to distributed systems; 15. Distributed access structures; 16. Distributed computing with MAPREDUCE and PIG; 17. Putting into practice: full-text indexing with LUCENE Nicolas Travers; 18. Putting into practice: recommendation methodologies Alban Galland; 19. Putting into practice: large-scale management with HADOOP; 20. Putting into practice: COUCHDB, a JSON semi-structured database.
