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
[email protected] for details.
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