TY  - GEN
A1  - Han van der, Aa
A1  - Di Ciccio, Claudio
A1  - Leopold, Henrik
A1  - Reijers, Hajo A.
T1  - Extracting Declarative Process Models from Natural Language
T2  - Advanced Information Systems Engineering (CAISE 2019)
N2  - 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.
KW  - Declarative modelling
KW  - Natural language processing
KW  - Model extraction
Y1  - 2019
SN  - 978-3-030-21290-2
SN  - 978-3-030-21289-6
U6  - https://doi.org/10.1007/978-3-030-21290-2_23
SN  - 0302-9743
SN  - 1611-3349
VL  - 11483
SP  - 365
EP  - 382
PB  - Springer
CY  - Cham
ER  -