The item is a book paperback or softback
The Author Name is Genesereth, Michael
The Title is Data Integration : The Relational Logic Approach
Condition New
Other Comments
Pages Count - 112. Binding type - Perfect.
Content Language - English
Category - COMPUTERS / Artificial Intelligence / General
MATHEMATICS / Applied
Product Description -
Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases and on public information systems like the World Wide Web. Not surprisingly, the sources often use different vocabularies and different data structures, being created, as they are, by different people, at different times, for different purposes. The goal of data integration is to provide programmatic and human users with integrated access to multiple, heterogeneous data sources, giving each user the illusion of a single, homogeneous database designed for his or her specific need. The good news is that, in many cases, the data integration process can be automated. This book is an introduction to the problem of data integration and a rigorous account of one of the leading approaches to solving this problem, viz., the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way. In many respects, relational logic does for data integration what relational algebra did for database theory several decades ago. A companion web site provides interactive demonstrations of the algorithms. Table of Contents: Preface / Interactive Edition / Introduction / Basic Concepts / Query Folding / Query Planning / Master Schema Management / Appendix / References / Index / Author Biography Don't have access Recommend our Synthesis Digital Library to your library or purchase a personal subscription. Email infomorganclaypool.com for details.
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Location ID 555z
iHaveit SKU ID 161686970
