Data Integration: The Relational Logic Approach - Synthesis Lectures on Artificial Intelligence and Machine Learning (Paperback)Michael Genesereth (author)
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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.
Publisher: Morgan & Claypool Publishers
Number of pages: 97
Weight: 205 g
Dimensions: 235 x 187 x 5 mm
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