• DocumentCode
    2991499
  • Title

    A pictorial method of knowledge representation

  • Author

    Schwartz, Edward N.

  • Author_Institution
    Dept. of Math. & Comput. Sci.. Manhattanville, Coll., Purchase, NY, USA
  • fYear
    1988
  • fDate
    14-18 Mar 1988
  • Firstpage
    425
  • Lastpage
    426
  • Abstract
    The author describes a pictorial method of knowledge representation that he calls a k-tree (knowledge tree) and a method of structuring a rule base using what he calls question lattices. Each branch of a k-tree corresponds to a rule. The lead represents the consequent and the parent nodes represent the antecedents. The taxonomy of the software will be easy to construct once the k-trees have been written
  • Keywords
    knowledge engineering; trees (mathematics); k-tree; knowledge representation; knowledge tree; pictorial method; question lattices; rule base; Abstracts; Computer science; Educational institutions; Expert systems; Feedback loop; Knowledge representation; Lattices; Mathematics; Shape; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-0837-4
  • Type

    conf

  • DOI
    10.1109/CAIA.1988.196149
  • Filename
    196149
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2991499