

AnHai Doan, Associate Professor in Computer Science at the University of Wisconsin-Madison.
Meer over de auteursPrniciples of Data Integration
Samenvatting
How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field.
This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field.
The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications.
- Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand.
- Provides specific algorithms to adress common data integration challenges
- Enables you to build your own algorithms and implement your own data integration applications
Specificaties
Over Alon Halevy
Over Zachary Ives
Inhoudsopgave
1. Introduction
Part 1: Foundational Data Integration Techniques
2. Manipulating Query Expressions
3. Describing Data Sources
4. String Matching
5. Schema Matching and Mapping
6. General Schema Manipulation Operators
7. Data Matching
8. Query Processing
9. Wrappers
10. Data Warehousing and Caching
Part 2: Integration with Extended Data Representations
11. XML
12. Ontologies and Knowledge Representation
13. Incorporating Uncertainty into Data Integration
14. Data Provenance
Part 3: Novel Integration Architectures
15. Data Integration on the Web
16. Keyword Search: Integration on Demand
17. Peer-to-Peer Integration
18. Integration in Support of Collaboration
19. The Future of Data Integration
Bibliography
Index
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