• DocumentCode
    2852194
  • Title

    Task-Oriented Capability Requirement Analysis Using an Ontology-Based Case Reasoning Method

  • Author

    Liu Jingfang ; Zou Ping ; Zhang Pengzhu ; Jia Zhaoqing

  • Author_Institution
    Manage. & Econ. Coll., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper has proposed an ontology-based case reasoning method, the method can make task oriented capability requirement analysis come true automatically. On one hand the method uses ontology to represent information of task and capability requirement in case, the method can make knowledge to be formalized sharing, meanwhile it uses OWL to perform associated reasoning between the task and capability requirement in case; and on the other hand, it makes full use of existing case to analysis capability requirement of question case by case-based reasoning. Firstly, the paper uses OWL to represent information of task and capability requirement in case; then the paper has put forward a case similarity algorithm based on vector space model, and realizes the case searching; finally an example has been shown to represent the application progress of this method, and to prove the method validity.
  • Keywords
    case-based reasoning; formal specification; knowledge representation languages; ontologies (artificial intelligence); task analysis; OWL; associated reasoning; case searching; case similarity; case-based reasoning; ontology; task-oriented capability requirement analysis; vector space model; Artificial intelligence; Chemical engineering; Educational institutions; Feathers; Information analysis; OWL; Ontologies; Paper technology; Performance analysis; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365464
  • Filename
    5365464