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
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;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6083954