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Principles of Data Integration
출판사 : Morgan Kaufmann
저 자 : Doan
ISBN : 9780124160446
발행일 : 2012-7
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 520
판매가격 : 79,000원
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   Principles of Data Integration 목차
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
   도서 상세설명   

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.

• Enables you to build your own algorithms and implement your own data integration applications

• Companion website with numerous project-based exercises and solutions and slides. Links to commercially available software allowing readers to build their own algorithms and implement their own data integration applications. Facebook page for reader input during and after publication.

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