• DocumentCode
    2627565
  • Title

    A conceptual framework for ontology-based expertise knowledge map

  • Author

    Liu, Ping ; Li, Xiang ; Liu, Kan

  • Author_Institution
    Sch. of Inf. Manage., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    1905
  • Lastpage
    1908
  • Abstract
    In the age of knowledge economy, knowledge has become the most important intelligence assets for enterprises. Knowledge management is becoming increasingly crucial to modern organizations. Compared with explicit knowledge, tacit knowledge is still considered to be relatively unexplored and proper management of this resource is of immense importance for better organizational performance. Expertise knowledge map, as a tool of representing employees´ competency, can be used to manage tacit knowledge. This paper proposes an ontology-based conceptual framework for expertise knowledge map, which is expected to automatically identify the competence of employees and their social network. The functions of each component in the framework are analyzed. The discussions focus on the several factors that need to be taken into consideration when implementing an expertise knowledge map.
  • Keywords
    knowledge management; ontologies (artificial intelligence); personnel; employee competency; explicit knowledge; knowledge economy; knowledge management; ontology-based conceptual framework; ontology-based expertise knowledge map; organizational performance; social network; tacit knowledge; Economics; Educational institutions; Information management; Ontologies; Organizations; Probabilistic logic; Conceptual Framework; Expertise Knowledge map; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5975058
  • Filename
    5975058