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.
Autorius: | Zoran Majki¿ |
Serija: | Texts in Computer Science |
Leidėjas: | Springer Nature Switzerland |
Išleidimo metai: | 2014 |
Knygos puslapių skaičius: | 536 |
ISBN-10: | 331904155X |
ISBN-13: | 9783319041551 |
Formatas: | Knyga kietu viršeliu |
Kalba: | Anglų |
Žanras: | Maths for computer scientists |
Parašykite atsiliepimą apie „Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics“