Datalog and Logic Databases
eBook - PDF

Datalog and Logic Databases

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Datalog and Logic Databases

About this book

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.

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Yes, you can access Datalog and Logic Databases by Sergio Greco,Cristian Molinaro in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Acknowledgments
  6. Introduction
  7. Logic and Relational Databases
  8. Datalog
  9. Negation
  10. Function Symbols
  11. Aggregates
  12. Query Optimization
  13. Applications
  14. Bibliography
  15. Authors’ Biographies