• DocumentCode
    289070
  • Title

    Discovering implicit integrity constraints in rule bases using metagraphs

  • Author

    Basu, Anirban ; Blanning, Robert W.

  • Author_Institution
    Owen Graduate Sch. of Manage., Vanderbilt Univ., Nashville, TN, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    3-6 Jan 1995
  • Firstpage
    321
  • Abstract
    A metagraph is a graph formalism that can be used to model the different components of a DSS and to analyze the interactions among them. One such component is a knowledge based system (KBS) in which domain knowledge is stored as if-then rules. In addition to such rules, a KBS can also contain a set of integrity constraints, which are used to manage the rule base both during updates and problem solving. We show how metagraph representation of a rule base can facilitate discovery of implicit integrity constraints in addition to explicitly stated ones
  • Keywords
    data integrity; decision support systems; graph theory; knowledge based systems; knowledge representation; DSS; domain knowledge; graph formalism; if-then rules; implicit integrity constraints; integrity constraints; knowledge based system; metagraph representation; metagraphs; problem solving; rule base; rule bases; Algorithm design and analysis; Computational efficiency; Context modeling; Data structures; Decision support systems; Inference algorithms; Information analysis; Knowledge based systems; Remuneration; System analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
  • Conference_Location
    Wailea, HI
  • Print_ISBN
    0-8186-6930-6
  • Type

    conf

  • DOI
    10.1109/HICSS.1995.375612
  • Filename
    375612