Big data integration theory : theory and methods of database mappings, programming languages, and semantics /
Saved in:
Author / Creator: | Majkić, Zoran. |
---|---|
Imprint: | Cham : Springer, c2014 |
Description: | 1 online resource (xx, 516 p.) : ill. |
Language: | English |
Series: | Texts in Computer Science, 1868-0941 Texts in computer science, |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/9983176 |
Summary: | 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. |
---|---|
Physical Description: | 1 online resource (xx, 516 p.) : ill. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9783319041568 (electronic bk.) 3319041568 (electronic bk.) 9783319041551 |
ISSN: | 1868-0941 |