Datalog and Logic Databases / by Sergio Greco, Cristian Molinaro.

Format:

Book

Author/Creator:

Greco, Sergio., Author.

Molinaro, Cristian., Author.

Series:

Synthesis Lectures on Data Management, 2153-5426

Language:

English

Subjects (All):

Computer networks.

Data structures (Computer science).

Information theory.

Computer Communication Networks.

Data Structures and Information Theory.

Local Subjects:

Computer Communication Networks.

Data Structures and Information Theory.

Physical Description:

1 online resource (XIII, 155 p.)

Edition:

1st ed. 2016.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

Summary:

The use of logic in databases started in the late 1960s. In the early 1970s Codd formalized databases in terms of the relational calculus and the relational algebra. A major influence on the use of logic in databases was the development of the field of logic programming. Logic provides a convenient formalism for studying classical database problems and has the important property of being declarative, that is, it allows one to express what she wants rather than how to get it. For a long time, relational calculus and algebra were considered the relational database languages. However, there are simple operations, such as computing the transitive closure of a graph, which cannot be expressed with these languages. Datalog is a declarative query language for relational databases based on the logic programming paradigm. One of the peculiarities that distinguishes Datalog from query languages like relational algebra and calculus is recursion, which gives Datalog the capability to express queries like computing a graph transitive closure. Recent years have witnessed a revival of interest in Datalog in a variety of emerging application domains such as data integration, information extraction, networking, program analysis, security, cloud computing, ontology reasoning, and many others. The aim of this book is to present the basics of Datalog, some of its extensions, and recent applications to different domains.

Contents:

Acknowledgments

Introduction

Logic and Relational Databases

Datalog

Negation

Function Symbols

Aggregates

Query Optimization

Applications

Bibliography

Authors' Biographies .

ISBN:

9783031018541

3031018540