IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution S Schönig, L Ackermann, S Jablonski, A Ermer Software and systems modeling 19, 1443-1459, 2020 | 64 | 2020 |
Deep learning process prediction with discrete and continuous data features S Schönig, R Jasinski, L Ackermann, S Jablonski Proceedings of the 13th international conference on evaluation of novel …, 2018 | 39 | 2018 |
An integrated architecture for iot-aware business process execution S Schönig, L Ackermann, S Jablonski, A Ermer Enterprise, Business-Process and Information Systems Modeling: 19th …, 2018 | 34 | 2018 |
Data-driven annotation of textual process descriptions based on formal meaning representations L Ackermann, J Neuberger, S Jablonski International Conference on Advanced Information Systems Engineering, 75-90, 2021 | 22 | 2021 |
Execution of multi-perspective declarative process models L Ackermann, S Schönig, S Petter, N Schützenmeier, S Jablonski On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018 | 19 | 2018 |
Simulation of multi-perspective declarative process models L Ackermann, S Schönig, S Jablonski Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017 | 18 | 2017 |
Internet of Things Meets BPM: A Conceptual Integration Framework. S Schönig, L Ackermann, S Jablonski SIMULTECH, 307-314, 2018 | 17 | 2018 |
Beyond rule-based named entity recognition and relation extraction for process model generation from natural language text J Neuberger, L Ackermann, S Jablonski International Conference on Cooperative Information Systems, 179-197, 2023 | 15 | 2023 |
The RALph miner for automated discovery and verification of resource-aware process models C Cabanillas, L Ackermann, S Schönig, C Sturm, J Mendling Software and Systems Modeling 19, 1415-1441, 2020 | 14 | 2020 |
Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models. S Schönig, L Ackermann, S Jablonski MODELSWARD, 271-278, 2018 | 12 | 2018 |
Model [nl] generation: natural language model extraction L Ackermann, B Volz Proceedings of the 2013 ACM workshop on Domain-specific modeling, 45-50, 2013 | 11 | 2013 |
Logic based look-ahead for the execution of multi-perspective declarative processes M Käppel, N Schützenmeier, S Schönig, L Ackermann, S Jablonski Enterprise, Business-Process and Information Systems Modeling: 20th …, 2019 | 9 | 2019 |
MuDePS: Multi-perspective Declarative Process Simulation. L Ackermann, S Schönig BPM (Demos) 1789, 12-16, 2016 | 9 | 2016 |
Automaton-based comparison of declare process models N Schützenmeier, M Käppel, L Ackermann, S Jablonski, S Petter Software and Systems Modeling 22 (2), 667-685, 2023 | 8 | 2023 |
Towards simulation-and mining-based translation of process models L Ackermann, S Schönig, S Jablonski Enterprise and Organizational Modeling and Simulation: 12th International …, 2016 | 8 | 2016 |
Language-independent look-ahead for checking multi-perspective declarative process models M Käppel, L Ackermann, S Schönig, S Jablonski Software and Systems Modeling, 1-23, 2021 | 7 | 2021 |
Towards simulation-and mining-based translation of resource-aware process models L Ackermann, S Schönig, S Jablonski Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017 | 7 | 2017 |
DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution. S Schönig, L Ackermann, S Jablonski BPM (Demos), 2017 | 6 | 2017 |
Bridging research fields: an empirical study on joint, neural relation extraction techniques L Ackermann, J Neuberger, M Käppel, S Jablonski International Conference on Advanced Information Systems Engineering, 471-486, 2023 | 5 | 2023 |
Natural language generation for declarative process models L Ackermann, S Schönig, M Zeising, S Jablonski Enterprise and Organizational Modeling and Simulation: 11th International …, 2015 | 5 | 2015 |