Table of contents

  1. Front Matter
    Pages 1-10
  2. Antonio Badia
    Pages 1-5
  3. Antonio Badia
    Pages 7-23
  4. Antonio Badia
    Pages 25-36
  5. Antonio Badia
    Pages 73-89
  6. Antonio Badia
    Pages 91-106
  7. Antonio Badia
    Pages 107-126
  8. Antonio Badia
    Pages 127-147
  9. Antonio Badia
    Pages 149-156
  10. Back Matter
    Pages 1-1

About this book

Introduction

The database industry is clearly a multi-billion, world-wide, all-encompassing part of the software world. This is part thanks to the standardization of query languages in the form of SQL. And yet, it is well known that SQL has significant shortcomings.  Quantifiers in Action: Generalized Quantification in Query, Logical and Natural Languages analyzes one of those shortcomings, the way in which quantification is dealt with in SQL.

It is well known that most query languages are simply versions of First Order Logic (FOL). GQs are an extension of the idea of quantifier in FOL. Hence, GQs can be a meaningful extension of the treatment of quantification in query languages. Even though studied within the theoretical community up until now, GQs can be successfully applied, and are a perfect example of a practical theory within databases.

This book provides a brief background in logic and introduces the concept of GQs, and then develops a query language based on GQs, called QLGQ. Using QLGQ, the reader explores the efficient implementation of the concept, always a primary consideration in databases. This professional book also includes several extensions, for use with documents employing question and answer techniques.

Quantifiers in Action: Generalized Quantification in Query, Logical and Natural Languages is the result of several years of research funded by NSF through a CAREER Award. It is designed for practitioners and researchers that work within the database management field. This volume is also suitable for graduate-level students in computer science.

Keywords

Data Management Database Generalized Quantification Logical Languages Natural Languages Question Answer currentsmp optimization relational database

Authors and affiliations

  • Antonio┬áBadia
  1. 1.J. B. Speed School of EngineeringUniversity of LouisvilleLouisvilleU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-09564-6
  • Copyright Information Springer-Verlag US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-09563-9
  • Online ISBN 978-0-387-09564-6
  • Series Print ISSN 1386-2944
  • About this book