Applications of Logic Databases

  • Raghu Ramakrishnan

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Oris Friesen, Gilles Gauthier-Villars, Alexandre Lefebvre, Laurent Vieille
    Pages 1-22
  3. Amit Sheth, Christopher Wood, Vipul Kashyap
    Pages 23-56
  4. Brian Livezey, Evangelos Simoudis
    Pages 57-81
  5. James Harland, Kotagiri Ramamohanarao
    Pages 83-100
  6. Richard Muntz, Eddie Shek, Carlo Zaniolo
    Pages 101-119
  7. William G. Roth, Raghu Ramakrishnan, Praveen Seshadri
    Pages 121-142
  8. Dimitra Vista, Peter T. Wood
    Pages 143-161
  9. David S. Warren
    Pages 217-234
  10. Antonio Badia, Dirk Van Gucht, Marc Gyssens
    Pages 235-258
  11. Nathan Goodman, Steve Rozen, Lincoln Stein
    Pages 259-278
  12. Back Matter
    Pages 279-280

About this book


The premise behind developing powerful declarative database languages is compelling: by enabling users to specify their queries (and their integrity constraints) in a clear, non-operational way, they make the user's task easier, and provide the database system with more opportunities for optimization. Relational database systems offer a striking proof that this premise is indeed valid. The most popular relational query language, SQL, is based upon relational algebra and calculus, i.e., a small fragment of first-order logic, and the ease of writing queries in SQL (in comparison to more navigational languages) has been an important factor in the commercial success of relational databases. It is well-known that SQL has some important limitations, in spite of its success and popUlarity. Notably, the query language is non-recursive, and support for integrity constraints is limited. Indeed, recognizing these problems, the latest standard, SQL-92, provides increased support for integrity constraints, and it is anticipated that the successor to the SQL-92 standard, called SQL3, RECURSIVE UNION operation [1]. Logic database systems have will include a concentrated on these extensions to the relational database paradigm, and some systems (e.g., Bull's DEL prototype) have even incorporated object-oriented features (another extension likely to appear in SQL3).


C programming language Natural database database systems deductive database query language relational database

Editors and affiliations

  • Raghu Ramakrishnan
    • 1
  1. 1.University of WisconsinMadisonUSA

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5926-5
  • Online ISBN 978-1-4615-2207-2
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site