• DocumentCode
    2175651
  • Title

    Knowledge representation for reasoning about devices

  • Author

    Hofmann, Martin ; Bourne, John ; Brodersen, Arthur

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
  • fYear
    1989
  • fDate
    26-28 Mar 1989
  • Firstpage
    446
  • Lastpage
    449
  • Abstract
    A novel knowledge-representation methodology that imposes syntactic structure and semantic discipline on the knowledge base is presented. The representation is based on the semantic network formalism and extends its organization principles to the semantics of the stored knowledge. Knowledge is classified according to subject and is organized into an inheritance hierarchy. Domain and reasoning knowledge are separated. Stored knowledge becomes reusable and can be shared among applications. The presented methodology supports reasoning through classification, specialization, and instantiation
  • Keywords
    inference mechanisms; knowledge representation; artificial intelligence; classification; inheritance hierarchy; instantiation; knowledge engineering; knowledge-representation; methodology; reasoning; semantic network formalism; specialization; syntactic structure; Biomedical engineering; Design engineering; Intelligent structures; Intelligent systems; Knowledge engineering; Knowledge representation; Medical diagnostic imaging; Power system modeling; Production systems; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
  • Conference_Location
    Tallahassee, FL
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-1933-3
  • Type

    conf

  • DOI
    10.1109/SSST.1989.72508
  • Filename
    72508