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.

Principles of Data Integration, 1st Edition

CH 1: Introduction

Part I: Foundational Data Integration Techniques

CH 2: Manipulating Query Expressions

CH 3: Describing Data Sources

CH 4: String Matching

CH 5: Schema Matching and Mapping

CH 6: General Schema Manipulation Operators

CH 7: Data Matching

CH 8:  Query Processing

CH 9: Wrappers

CH 10: Data Warehousing and Caching

Part II: Integration with Extended Data Representations

CH 11: XML

CH 12: Ontologies and Knowledge Representation

CH 13: Incorporating Uncertainty into Data Integration

CH 14: Data Provenance

Part III: Novel Integration Architectures

CH 15: Data Integration on the Web

CH 16: Keyword Search: Integration on Demand

CH 17: Peer-to-Peer Integration

CH 18: Integration in Support of Collaboration

CH 19: The Future of Data Integration