%0 Book %1 Majkic14 %A Majkić, Zoran %B Texts in Computer Science %C Cham %D 2014 %I Springer %K 01624 103 springer book database theory logic data management zzz.big %R 10.1007/978-3-319-04156-8 %T Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics %X 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. %@ 978-3-319-04155-1

@book{Majkic14, abstract = {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.}, added-at = {2016-05-17T10:46:45.000+0200}, address = {Cham}, author = {Majki\'{c}, Zoran}, biburl = {https://www.bibsonomy.org/bibtex/26edd957c8c2cbe718f7abd36458920e8/flint63}, doi = {10.1007/978-3-319-04156-8}, file = {Springer Pro:2014/Majkic14.pdf:PDF;Springer Pro:https\://www.springerprofessional.de/big-data-integration-theory/2080770:URL;Springer Product page:http\://www.springer.com/978-3-319-04155-1:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/331904155X/:URL}, groups = {public}, interhash = {2a2919d8a702b824f5181b5fa3b99b4f}, intrahash = {6edd957c8c2cbe718f7abd36458920e8}, isbn = {978-3-319-04155-1}, issn = {1868-0941}, keywords = {01624 103 springer book database theory logic data management zzz.big}, publisher = {Springer}, series = {Texts in Computer Science}, timestamp = {2017-07-13T17:14:53.000+0200}, title = {Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics}, username = {flint63}, year = 2014 }