Hinkelmann, K., Afonina, V., & Montecchiari, D. (2024). Visualizing argumentation for research problem and research design. In M. Mandviwalla, M. Söllner, & T. Tuunanen (Eds.), Design science research for a resilient future (pp. 168–181). Springer. https://doi.org/10.1007/978-3-031-61175-9_12

Hinkelmann, K., Afonina, V., & Montecchiari, D. (2024). Enhancing research clarity. Ontology-based modeling of argumentation in RPML. In J. P. A. Almeida, C. Di Ciccio, & C. Kalloniatis (Eds.), Advanced information systems engineering workshops (pp. 85–96). Springer. https://doi.org/10.1007/978-3-031-61003-5_8

Afonina, V., Hinkelmann, K., & Montecchiari, D. (2023). Enriching enterprise architecture models with healthcare domain knowledge. Advanced Information Systems Engineering Workshops. CAiSE 2023 International Workshops, 17–28. https://doi.org/10.1007/978-3-031-34985-0_2

Baumann, F., Hinkelmann, K., & Montecchiari, D. (2023). Supporting reuse of business process models by semantic annotation. Advanced Information Systems Engineering Workshops. CAiSE 2023 International Workshops, 29–35. https://doi.org/10.1007/978-3-031-34985-0_3

Montecchiari, D., & Hinkelmann, K. (2023). Validating enterprise architecture principles using derivation rules and domain knowledge. In K. Hinkelmann, F. J. López-Pellicer, & A. Polini (Eds.), Perspectives in Business Informatics Research. 22nd International Conference on Business Informatics Research, BIR 2023, Ascoli Piceno, Italy, September 13–15, 2023, Proceedings (pp. 244–259). Springer. https://doi.org/10.1007/978-3-031-43126-5_18

Montecchiari, D., & Hinkelmann, K. (2022). Towards ontology-based validation of EA principles. In B. S. Barn & K. Sandkuhl (Eds.), The Practice of Enterprise Modeling. 15th IFIP WG 8.1 Working Conference, PoEM 2022, London, UK, November 23-25, 2022. Proceedings (pp. 66–81). https://doi.org/10.1007/978-3-031-21488-2_5

Montecchiari, D. (2021). Ontology-based validation of enterprise architecture principles in enterprise models. Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium Co-Located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021), 197–203. https://doi.org/10.26041/fhnw-7087

Pande, C., Witschel, H. F., Martin, A., & Montecchiari, D. (2021). Hybrid conversational AI for intelligent tutoring systems. In A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, & F. v. Harmelen (Eds.), Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-6988

Peter, M., Montecchiari, D., Hinkelmann, K., & Gatziu Grivas, S. (2020). Ontology-based visualization for business model design. In J. Grabis & D. Bork (Eds.), The Practice of Enterprise Modeling. 13th IFIP Working Conference, PoEM 2020, Riga, Latvia, November 25-27, 2020. Proceedings (pp. 244–258). Springer. https://doi.org/10.1007/978-3-030-63479-7_17

Hinkelmann, K., Laurenzi, E., Martin, A., Montecchiari, D., Spahic, M., & Thönssen, B. (2020). ArchiMEO: A standardized enterprise ontology based on the ArchiMate conceptual model. In S. Hammoudi, L. Ferreira Pires, & B. Selić (Eds.), Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development (Vol. 1, pp. 417–424). https://doi.org/10.5220/0009000204170424

Laurenzi, E., Hinkelmann, K., Jüngling, S., Montecchiari, D., Pande, C., & Martin, A. (2019). Towards an assistive and pattern learning-driven process modeling approach. In A. Martin, K. Hinkelmann, A. Gerber, D. Lenat, F. van Harmelen, & P. Clark (Eds.), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019). https://doi.org/10.26041/fhnw-6431