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Natural Language Generation for Declarative Process Models

  • Lars Ackermann
  • Stefan Schönig
  • Michael Zeising
  • Stefan Jablonski
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 231)

Abstract

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 approach focuses on content determination and structuring the output texts.

Keywords

Declarative process models Natural language generation Model transformation Process model validation 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Lars Ackermann
    • 1
  • Stefan Schönig
    • 1
  • Michael Zeising
    • 1
  • Stefan Jablonski
    • 1
  1. 1.University of BayreuthBayreuthGermany

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