van der Aa, Han, Di Ciccio, Claudio, Leopold, Henrik, Reijers, Hajo A. 2019. Extracting Declarative Process Models from Natural Language. In Advanced Information Systems Engineering - 31st International Conference, CAiSE, Hrsg. Paolo Giorgini, Barbara Weber, 365-382. Rome, Italy: Springer.

RIS

@INPROCEEDINGS{van der Aa2019,
title = {Extracting Declarative Process Models from Natural Language},
author = {Han van der Aa and Claudio Di Ciccio and Henrik Leopold and Hajo A. Reijers},
publisher = {Springer},
year = {2019},
isbn = {978-3-030-21289-6},
address = {Rome, Italy},
url = {https://doi.org/10.1007/978-3-030-21290-2_23},
publisher = {Springer},
language = {EN},
pages = {365-382},
series = {Advanced Information Systems Engineering - 31st International Conference, CAiSE},
abstract = {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.},
}