Web Data Management

This book explains the foundations of XML, the Web standard for data management, with a focus on data distribution.

Serge Abiteboul (Author), Ioana Manolescu (Author), Philippe Rigaux (Author), Marie-Christine Rousset (Author), Pierre Senellart (Author)

9781107012431, Cambridge University Press

Hardback, published 28 November 2011

450 pages, 136 b/w illus. 78 tables
26.1 x 18.3 x 2.9 cm, 0.94 kg

'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 Oxford

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.

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.

Subject Areas: Databases & the Web [UNN]