Abstract
In this paper we describe a publicly available dataset containing 6,266 verb phrases which can be used to express activities and states in business process models in German language. This addresses the problem that often activities or states in labels of business process models are not expressed by a single verb but rather by a multiword expression.
Verb phrases that are considered semantically equivalent have been grouped into synsets. This helps to identify the actual meaning of a textual label.
The dataset has been compiled from a comprehensive analysis of 6,711 business process models with German labels and a study of already available collections of multiword expressions in the literature.
The resource can be used for algorithms that analyze business process models with respect to the semantics of their labels.
Ms. Kutzner is a former project member.
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The mapping of label texts to verb frames and synsets has been done by means of a computer program. This means that the actual number of occurrences could slightly differ from the given number, e.g. because of errors in the automatic mapping of inflected verbs to their infinitives.
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Our research project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 445156547.
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Laue, R., Kutzner, K., Läuter, M. (2024). Collecting Activities and States in German Business Process Models. In: De Weerdt, J., Pufahl, L. (eds) Business Process Management Workshops. BPM 2023. Lecture Notes in Business Information Processing, vol 492. Springer, Cham. https://doi.org/10.1007/978-3-031-50974-2_35
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