Authors:
João Carlos de A. R. Gonçalves
;
Flávia Santoro
and
Fernanda Baião
Affiliation:
Federal University of the State of Rio de Janeiro (UNIRIO), Brazil
Keyword(s):
Business Process Modelling, Knowledge Elicitation, Computer-Supported Collaborative Work.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Formalisms, Languages and Notations
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Software Engineering
;
Systems Engineering
;
Web Information Systems and Technologies
Abstract:
Business Process Modelling remains a costly and complex task for most organizations. One of the main difficulties lies on the process elicitation phase, where the process analyst attempts to extract information from the process’ participants and other resources involved. This paper describes a case study in which a previously proposed Story Mining method was applied. The Story Mining method and its supporting tool, ProcessTeller, makes use of collaborative storytelling and natural language processing techniques for a semi-automatic extraction of BPMN-compliant business process elements from text.