Data exchange is the problem of exchanging data between different databases with different schemas. A systematic study has been conducted over the past decade, making it one of the most active research topics in databases. This book is the first to summarize the key developments in that research.
Data exchange is the problem of exchanging data between different databases with different schemas. A systematic study has been conducted over the past decade, making it one of the most active research topics in databases. This book is the first to summarize the key developments in that research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Marcelo Arenas is an Associate Professor in the Department of Computer Science at the Pontificia Universidad Catolica de Chile. He received his PhD from the University of Toronto in 2005. His research interests are in different aspects of database theory, such as expressive power of query languages, database semantics, inconsistency handling, database design, XML databases, data exchange, metadata management and database aspects of the Semantic Web. He has received an IBM PhD Fellowship (2004), seven best paper awards (PODS 2003, PODS 2005, ISWC 2006, ICDT 2010, ESWC 2011, PODS 2011 and WWW 2012) and an ACM-SIGMOD Dissertation Award Honorable Mention in 2006 for his PhD dissertation 'Design Principles for XML Data'. He has served on multiple program committees, and since 2009 he has been participating as an invited expert in the World Wide Web Consortium.
Inhaltsangabe
Preface Part I. Getting Started: 1. Data exchange by example 2. Theoretical background 3. Data exchange: key definitions Part II. Relational Data Exchange: 4. The problem of relational data exchange 5. Existence of solutions 6. Good solutions 7. Query answering and rewriting 8. Alternative semantics 9. End notes to Part II Part III. XML Data Exchange: 10. The problem of XML data exchange 11. Patterns and mappings 12. Building solutions 13. Answering tuple queries 14. XML-to-XML queries 15. XML data exchange via relations 16. End notes to Part III Part IV. Metadata Management: 17. What is metadata management? 18. Consistency of schema mappings 19. Mapping composition 20. Inverting schema mappings 21. Structural characterizations of schema mapping 22. End notes to Part IV References Index.
Preface Part I. Getting Started: 1. Data exchange by example 2. Theoretical background 3. Data exchange: key definitions Part II. Relational Data Exchange: 4. The problem of relational data exchange 5. Existence of solutions 6. Good solutions 7. Query answering and rewriting 8. Alternative semantics 9. End notes to Part II Part III. XML Data Exchange: 10. The problem of XML data exchange 11. Patterns and mappings 12. Building solutions 13. Answering tuple queries 14. XML-to-XML queries 15. XML data exchange via relations 16. End notes to Part III Part IV. Metadata Management: 17. What is metadata management? 18. Consistency of schema mappings 19. Mapping composition 20. Inverting schema mappings 21. Structural characterizations of schema mapping 22. End notes to Part IV References Index.
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