• DocumentCode
    456653
  • Title

    Ontology-Based Knowledge Retrieval in Organizational Memory

  • Author

    Yang, Kung-Jiuan ; Chen, Yuh-Min

  • Author_Institution
    Dept. of Inf. Manage., Fortune Inst. of Technol.
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    566
  • Lastpage
    569
  • Abstract
    Organization memory (OM) has been regarded as one of the most important resources in the enterprise. An OM captures stores and shares the valuable organization knowledge and thus esteem as a base of enterprise knowledge management. Due to the complexity of OM, structuring and accessing the huge amount of heterogeneous information will be a heavy workload. In this paper, for supporting learning and the sharing of knowledge of the informal documents, recommendations are provided based on case-based reasoning (CBR) techniques. And we propose an ontology-based approach model to retrieve formal, semi-formal or informal knowledge by specifying the meta-level description to improve the retrieval efficiency on the problems of daily task and furthermore to eliminate the possibility of information overload
  • Keywords
    case-based reasoning; information retrieval; knowledge management; ontologies (artificial intelligence); case-based reasoning; enterprise knowledge management; knowledge retrieval; knowledge sharing; meta-level description; ontology; organization memory; Databases; Distributed computing; Electronic learning; Information management; Information retrieval; Knowledge management; Manufacturing; Memory management; Ontologies; Vehicles; Case-Based; Knowledge Retrieval; Ontology; Organization Memory; Reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.124
  • Filename
    1691863