• DocumentCode
    463374
  • Title

    On Concept Algebra and Knowledge Representation

  • Author

    Wang, Yingxu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.
  • Volume
    1
  • fYear
    2006
  • fDate
    17-19 July 2006
  • Firstpage
    320
  • Lastpage
    331
  • Abstract
    A concept is a basic unit of cognition that carries certain meanings. In cognitive informatics, a concept is formally modeled as an abstract and dynamic mathematical structure that encapsulates attributes, objects, and relations. The most important feature of an abstract concept is its networking capability, or the adaptive capability to interrelate itself to other concepts. This paper presents a formal theory for abstract concepts and knowledge manipulation known as concept algebra. The mathematical models of concepts and knowledge are developed based on the object-attribute-relation (OAR) theory. The formal methodology for manipulating knowledge as a concept network is described. Case studies demonstrate that the concept network and concept algebra provide a generic and formal knowledge manipulation means that are capable to deal with complex knowledge structures and their algebraic operations
  • Keywords
    knowledge representation; process algebra; abstract concepts; cognitive informatics; concept algebra; knowledge manipulation; knowledge representation; object-attribute-relation theory; Algebra; Cognition; Cognitive informatics; Concrete; Drives; Intelligent networks; Knowledge representation; Mathematical model; Solids; Sun; Cognitive informatics; case studies; concept; concept algebra; knowledge; knowledge network; mathematics; natural intelligence; the OAR model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0475-4
  • Type

    conf

  • DOI
    10.1109/COGINF.2006.365514
  • Filename
    4216431