Business process mining from group stories

Authors:
Joao Carlos de A. R. Goncalves;Flavia Maria Santoro;Fernanda Araujo Baiao
Affiliations:
NP2Tec - Research and Practice Group in Information Technology, Department of Applied Informatics, Federal University of the State of Rio de Janeiro (UNIRIO), Brazil;NP2Tec - Research and Practice Group in Information Technology, Department of Applied Informatics, Federal University of the State of Rio de Janeiro (UNIRIO), Brazil;NP2Tec - Research and Practice Group in Information Technology, Department of Applied Informatics, Federal University of the State of Rio de Janeiro (UNIRIO), Brazil
Venue:
CSCWD '09 Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design
Year:
2009

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Abstract

Process Modeling has been adopted by organizations in various contexts, such as analysis for best practices, system design and Information Technology architecture. Despite its importance, modeling process is still costly and complex. The process mining technique extracts information from systems event log, however, a business process incorporates human activities, which will never be present in logs. This paper presents an approach that explores the narrative technique associated with text mining and natural language interpretation for automatic generation of process models.