• DocumentCode
    2381522
  • Title

    Collaborative narratives for business rule elicitation

  • Author

    de A R Goncalves, J.C. ; Santoro, Flávia Maria ; Baião, Fernanda Araujo

  • Author_Institution
    Dept. of Appl. Inf., Fed. Univ. of the State of Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1926
  • Lastpage
    1931
  • Abstract
    Business rules are a form of knowledge that expresses policies being practiced throughout the organization. The set of business rules represents part of important collective knowledge, therefore enterprises are likely to have them explicited and documented. The Story Mining Method was proposed previously for the extraction of business process elements from collaborative narratives; however, process models and rules are complementary forms of knowledge that represent organizational knowledge as a whole. This paper presents an extension of the Story Mining method and the collaborative supporting application, expanding the scope of the method for business rules extraction.
  • Keywords
    business process re-engineering; data mining; knowledge management; organisational aspects; business process element extraction; business rule elicitation; collaborative narrative; organizational knowledge; story mining method; Analytical models; Calculus; Collaboration; Data mining; Organizations; Registers; business processes; business rules; mining; stories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083954
  • Filename
    6083954