Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics

Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics

by Zoran Majkic
     
 
This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that

Overview

This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second order logic, data modeling, co-algebras and functorial categorial semantics. Features: provides an introduction to logics, co-algebras, databases, schema mappings and category theory; describes the core concepts of big data integration theory, with examples; examines the properties of the DB category; defines the categorial RDB machine; presents full operational semantics for database mappings; discusses matching and merging operators for databases, universal algebra considerations and algebraic lattices of the databases; explores the relationship of the database weak monoidal topos w.r.t. intuitionistic logic.

Editorial Reviews

From the Publisher

From the book reviews:

“The author has written a number of papers on data integration theory and this book is a compendium of these papers … . It would be an ideal companion for a research student working with theoretical database concepts.” (M. S. Krishnamoorthy, Computing Reviews, September, 2014)

Product Details

ISBN-13:
9783319041551
Publisher:
Springer International Publishing
Publication date:
02/28/2014
Series:
Texts in Computer Science Series
Edition description:
2014
Pages:
516
Product dimensions:
6.10(w) x 9.25(h) x 0.05(d)

Meet the Author

Dr. Zoran Majkić is Chief Technology Advisor at Jumper Consulting Investment Ltd., Dublin, Ireland. He is also affiliated with the International Society for Research in Science and Technology, Tallahassee, FL, USA.

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