Natural Language Generation for Declarative Process Models

Title data

Ackermann, Lars ; Schönig, Stefan ; Zeising, Michael ; Jablonski, Stefan:
Natural Language Generation for Declarative Process Models.
In: Barijs, Joseph ; Pergl, Robert ; Babkin, Eduard (ed.): Enterprise and Organizational Modeling and Simulation : 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers. - Cham : Springer , 2015 . - pp. 3-19 . - (Lecture Notes in Business Information Processing ; 231 )
ISBN 978-3-319-24626-0
DOI: https://doi.org/10.1007/978-3-319-24626-0_1

Related URLs

Abstract in another language

Two different types of processes can be distinguished: well-structured routine processes and agile processes where the control-flow cannot be predefined a priori. In a similar way, two modeling paradigms exist whereby procedural models are more adequate for routine processes and declarative models are more suitable for agile processes. Often business analysts are not confident in understanding process models; this holds even more for declarative process models. Natural language support for this kind of processes in order to improve their readability is desirable. In the work at hand we define a technique that transforms declarative models to intuitive natural language texts. Hereof, the app-roach focuses on content determination and structuring the output texts.