• DocumentCode
    1401297
  • Title

    Combining multiple knowledge bases

  • Author

    Baral, Chitta ; Kraus, Sarit ; Minker, Jack

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
  • Volume
    3
  • Issue
    2
  • fYear
    1991
  • fDate
    6/1/1991 12:00:00 AM
  • Firstpage
    208
  • Lastpage
    220
  • Abstract
    Combining knowledge present in multiple knowledge base systems into a single knowledge base is discussed. A knowledge based system can be considered an extension of a deductive database in that it permits function symbols as part of the theory. Alternative knowledge bases that deal with the same subject matter are considered. The authors define the concept of combining knowledge present in a set of knowledge bases and present algorithms to maximally combine them so that the combination is consistent with respect to the integrity constraints associated with the knowledge bases. For this, the authors define the concept of maximality and prove that the algorithms presented combine the knowledge bases to generate a maximal theory. The authors also discuss the relationships between combining multiple knowledge bases and the view update problem
  • Keywords
    data integrity; database theory; deductive databases; knowledge based systems; deductive database; function symbols; integrity constraints; knowledge based system; maximal theory; maximality; multiple knowledge base systems; single knowledge base; view update problem; Computer science; Constraint theory; Deductive databases; Helium; Knowledge based systems; Knowledge management; Lifting equipment; Logic; Marine vehicles; Military computing;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.88001
  • Filename
    88001