• DocumentCode
    2279833
  • Title

    Knowledge acquisition and representation through neighborhoods

  • Author

    Cullinane, Michael J. ; Kao, David T. ; Shore, Samuel D.

  • Author_Institution
    Dept. of Math., New Hampshire Univ., Durham, NH, USA
  • fYear
    1996
  • fDate
    9-10 Sep 1996
  • Firstpage
    49
  • Lastpage
    55
  • Abstract
    Knowledge representation is a major component of knowledge acquisition. A theoretical model for the representation of knowledge in a given problem domain is developed through the use of the mathematical notion of neighborhood. The model as flexible enough to support the representation of a semantic structure which can be mathematically encoded as a weak distance, a binary relation, or a topology. A concrete situation is developed which demonstrates the application of various aspects of the theory
  • Keywords
    knowledge acquisition; knowledge representation; topology; binary relation; knowledge acquisition; knowledge representation; mathematical notion; neighborhoods; problem domain; semantic structure; theoretical model; weak distance; Computer science; Concrete; Design engineering; Encoding; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Knowledge representation; Neural networks; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 1996. Proceedings., Seventh International Workshop on
  • Conference_Location
    Zurich
  • Print_ISBN
    0-8186-7662-0
  • Type

    conf

  • DOI
    10.1109/DEXA.1996.558270
  • Filename
    558270
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2279833