Publications

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Scoping Review

Published in Artificial Intelligence Review 59(10), 2026

We systematically review how computational metacognitive architectures represent and process their episodic experiences, revealing key patterns and challenges in the field.

Recommended citation: Nolte, R., Pomarlan, M., Janssen, A., Beßler, D., Javanmardi, K., Jongebloed, S., Porzel, R., Bateman, J., Beetz, M., & Malaka, R. (2026). 'How metacognitive architectures remember their own thoughts: a systematic scoping review.' Artificial Intelligence Review, 59(10), 213. https://doi.org/10.1007/s10462-026-11669-5

Generating Actionable Robot Knowledge Bases by Combining 3D Scene Graphs with Robot Ontologies

Published in IEEE International Conference on Robotics and Automation (ICRA), 2025, 2025

We present a unified scene graph model that standardizes 3D scene formats and integrates them with robot ontologies to support actionable knowledge creation.

Recommended citation: Nguyen, G., Pomarlan, M., Jongebloed, S., Leusmann, N., Beetz, M. 'Generating Actionable Robot Knowledge Bases by Combining 3D Scene Graphs with Robot Ontologies.' In IEEE International Conference on Robotics and Automation (ICRA), 2025. Accepted.

Cloud-based Digital Twin for Cognitive Robotics

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.

An Ontological Model of User Preferences

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.

Prolog as a Querying Language for MongoDB

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.

Ontology Partitioning Using E-Connections Revisited

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.