• DocumentCode
    1871601
  • Title

    One approach to the classification of business knowledge diagrams: Practical view

  • Author

    Kudryavtsev, Dmitry ; Gavrilova, Tatiana ; Leshcheva, Irina

  • Author_Institution
    Intell. Comput. Technol. Dept., St. Petersburg State Polytech. Univ., St. Petersburg, Russia
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    1259
  • Lastpage
    1265
  • Abstract
    Diagrams are an effective and popular tool for visual knowledge structuring. Managers also often use them to acquire and transfer business knowledge. There are many currently available diagrams or visual modeling languages for managerial needs, unfortunately the choice between them is frequently error-prone and inconsistent. This situation raises the next questions. What diagrams/ visual modeling languages are the most suitable for the specific type of business content? What domain-specific diagrams are the most suitable for the visualization of the particular elements of organizational ontology? In order to provide the answers, the paper suggests light-weight specification of diagrams and knowledge content types, which is based on the competency questions and ontology design patterns. The proposed approach provides the classification of qualitative business diagrams.
  • Keywords
    classification; knowledge management; ontologies (artificial intelligence); business content; business knowledge diagrams; competency questions; domain specific diagrams; error prone; managerial needs; ontology design patterns; organizational ontology; qualitative business diagrams; visual knowledge structuring; visual modeling languages; Business; Complexity theory; Data visualization; Educational institutions; Ontologies; Unified modeling language; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
  • Conference_Location
    Krako??w
  • Type

    conf

  • Filename
    6644176