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

by Zoran Majki and Zoran Majki

Book 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.

• Format: Paperback
• Language: English
• ISBN: 3319355392
• ISBN13: 9783319355399
• Release Date: September 2016
• Publisher: Springer
• Length: 516 Pages
• Weight: 1.64 lbs.
• Dimensions: 1.1" x 6.1" x 9.2"