Data Integration: The Relational Logic Approach (Synthesis Lectures on Artificial Intelligence and Machine Learning) free ebook download.

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Data Integration: The Relational Logic Approach (Synthesis Lectures on Artificial Intelligence and Machine Learning) free ebook download

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Author(s):	Michael Genesereth

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	3031004221
Pages:	112	OCR:		Quality:		ISBN13:
Uploader:	risotor	Upload Date:	9/22/2024 12:37:27 PM

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3031004221 pdf
3031004221 pdf
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 info@morganclaypool.com for details.
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Tags: Approach Artificial Data Integration Intelligence Lectures Logic Machine Relational Synthesis

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