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Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics.
・ISBN 978-3-319-04155-1 hard EUR 49.99
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| 著者・編者 | Majkic, Zoran, |
|---|---|
| シリーズ | (Texts in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2014 |
| ページ数 | 516 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-38266> |
解説
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.