Published in IEEE Global Engineering Education Conference (EDUCON) 2024, 2024
The paper presents a novel cloud-based digital twin learning platform for teaching and training concepts of cognitive robotics.
Recommended citation: Niedzwiecki, A., Jongebloed, S., Zhan, Y., Kümpel, M., Syrbe, J., Beetz, M., "Cloud-based Digital Twin for Cognitive Robotics", In IEEE Global Engineering Education Conference (EDUCON) 2024, 2024.
Published in RobOntics workshop 2023, 2023
In this work, we thus investigate a formal model of preferences where options are non-atomic entities that are defined by the complex situations they bring about
Recommended citation: Mona Abdel-Keream, Daniel Beßler, Ayden Janssen, Sascha Jongebloed, Robin Nolte, Mihai Pomarlan and Robert Porzel, "An Ontological Model of User Preferences", In RobOntics workshop, 2023.
Published in arXiv preprint arXiv:2110.01284., 2021
We propose a new database querying language called Mongolog which is syntactically a subset of the Prolog language, and we define its operational semantics through translations into MongoDB aggregation pipelines.
Recommended citation: Beßler, D., Jongebloed, S., & Beetz, M. (2021). Prolog as a Querying Language for MongoDB. arXiv preprint arXiv:2110.01284.
Published in In Proc. 31st DL, vol. 2211 of CEUR, 2018
We revisit the technique for partitioning ontologies using E-connections introduced by Cuenca Grau et al. (2006).
Recommended citation: S. Jongebloed and T. Schneider: Ontology Partitioning Using E-Connections Revisited. In Proc. 31st DL, vol. 2211 of CEUR, 2018.