• DocumentCode
    3208728
  • Title

    A semantic integrity framework: set restrictions for semantic groupings

  • Author

    Rundensteiner, Elke A. ; Bic, Lubomir ; Gilbert, Jonathan ; Yin, Meng-Lai

  • Author_Institution
    Dept. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
  • fYear
    1991
  • fDate
    8-12 Apr 1991
  • Firstpage
    710
  • Lastpage
    717
  • Abstract
    Three of the most common fundamental groupings that are utilized in semantic database models are considered: set groupings, power set groupings, and Cartesian aggregation groupings. For each, useful restrictions that control its structure and composition are defined. This permits each grouping to capture more subtle distinctions of the concepts or situations in the application environment. The resulting set of restrictions forms a framework for integrity constraints in semantic data models. This framework is targeted towards advanced applications, such as computer-aided design, office automation, and artificial intelligence, which require the support of more sophisticated relationships among data than traditional database domains
  • Keywords
    data integrity; database management systems; Cartesian aggregation groupings; application environment; artificial intelligence; computer-aided design; integrity constraints; office automation; semantic database models; semantic groupings; semantic integrity framework; set groupings; set restrictions; Character recognition; Computer science; Data models; Design automation; Erbium; Relational databases; Solids; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1991. Proceedings. Seventh International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-8186-2138-9
  • Type

    conf

  • DOI
    10.1109/ICDE.1991.131520
  • Filename
    131520