• DocumentCode
    2438345
  • Title

    Development of Knowledge Management Based on Task Circumstance

  • Author

    Ming-jian Zhou ; Jun-cai Tao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Nanchang Univ., Nanchang, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1799
  • Lastpage
    1802
  • Abstract
    Knowledge Management (KM) plays the key role in upgrading the competitiveness of an organization, one of objectives of KM is to promote the share and reuse of all kind of knowledge. To this end, task circumstance (TC) of knowledge is crucial. Base on task circumstance, this paper proposes a framework of KM to facilitate knowledge reuse. According to the definition of domain ontology, this paper introduces the concept of TC, and then presents a method of TC annotation. Base on the TC MiniTree, we propose a novel method of evaluating TC semantic similarity, and finally introduce a knowledge match algorithm to retrieve appropriate knowledge for application precisely and quickly.
  • Keywords
    knowledge management; ontologies (artificial intelligence); domain ontology; knowledge management; knowledge match algorithm; task circumstance MiniTree; task circumstance annotation; task circumstance semantic similarity; Computer architecture; Computers; Context; Knowledge management; Ontologies; Organizations; Semantics; knowledge management; ontology; semantic similarity; task circumstance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.455
  • Filename
    5592769