Extracting Declarative Process Models from Natural Language

Han van der Aa, Claudio Di Ciccio, Henrik Leopold, Hajo A. Reijers

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Process models are an important means to capture information on organizational operations and often represent the starting point for process analysis and improvement. Since the manual elicitation and creation of process models is a time-intensive endeavor, a variety of techniques have been developed that automatically derive process models from textual process descriptions. However, these techniques, so far, only focus on the extraction of traditional, imperative process models. The extraction of declarative process models, which allow to effectively capture complex process behavior in a compact fashion, has not been addressed. In this paper we close this gap by presenting the first automated approach for the extraction of declarative process models from natural language. To achieve this, we developed tailored Natural Language Processing techniques that identify activities and their inter-relations from textual constraint descriptions. A quantitative evaluation shows that our approach is able to generate constraints that closely resemble those established by humans. Therefore, our approach provides automated support for an otherwise tedious and complex manual endeavor.
Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering - 31st International Conference, CAiSE
Editors Paolo Giorgini, Barbara Weber
Place of PublicationRome, Italy
Pages365 - 382
ISBN (Print)978-3-030-21289-6
Publication statusPublished - 2019

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 102
  • 502017 Logistics
  • 102001 Artificial intelligence
  • 102013 Human-computer interaction
  • 502
  • 502050 Business informatics

    Di Ciccio, C. (Researcher) & Mendling, J. (Researcher)


    Project: Research

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