• DocumentCode
    774981
  • Title

    Evaluation of recursive queries with extended rules in deductive databases

  • Author

    Lee, Sang Ho ; Henschen, Lawrence J.

  • Author_Institution
    Sch. of Comput., Soong Sil Univ., Seoul, South Korea
  • Volume
    7
  • Issue
    2
  • fYear
    1995
  • fDate
    4/1/1995 12:00:00 AM
  • Firstpage
    328
  • Lastpage
    331
  • Abstract
    In order to extend the expressive power of deductive databases, a formula that can have existential quantifiers in prenex normal form in a restricted way is defined as an extended rule. With the extended rule, we can easily define a virtual view that requires a division operation of relational algebra to evaluate. The paper addresses a recursive query evaluation where at least one formula in a recursive rule set is of an extended rule. We investigate transformable recursions as well as four cases of non-transformable recursions of transitive-closure-like and linear type. The work reveals that occurrence of an existentially quantified variable in the extended recursive body predicate might dramatically limit the level of recursive search. In particular, the number of iterations to answer extended queries can be determined, independently of database contents
  • Keywords
    database theory; deductive databases; iterative methods; query processing; relational algebra; deductive databases; division operation; existential quantifiers; existentially quantified variable; expressive power; extended queries; extended recursive body predicate; extended rules; iterations; linear recursions; nontransformable recursions; prenex normal form; recursive query evaluation; recursive rule set; recursive search; relational algebra; transformable recursions; transitive-closure-like recursions; virtual view; Algebra; Artificial intelligence; Deductive databases; Null value; Power engineering and energy; Power engineering computing; Query processing; Sections; Transaction databases;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.382302
  • Filename
    382302