Michaela Kümpel

Research Staff

Tel: –49 -421 218 64021
Fax: –49 -421 218 64047
Room: TAB 1.79
Mail: michaela[dot]kuempel(at)cs[dot]uni-bremen[dot]de

I joined the team of the Institute of Artificial Intelligence in 2017 to pursue my PhD under supervision of Prof. Michael Beetz. I received my Bachelor of Science in Information Systems at the University of Osnabrueck, Germany, and my Master of Science in Management Information Systems at the University of South Florida, US.

My main research interests are
- Web Information Extraction, Knowledge acquisition and processing
- Knowledge Representation using Knowledge Graphs, the Semantic Web, Linked Open Data and connecting it to the KnowRob knowledge processing framework
- AR applications. I am developing HoloLens and Smartphone applications in different environments to showcase the use of web-based knowledge sources
- Machine Learning and Data Mining


  • NonFoodKG - my non-food product knowledge graph with API to different ontologies for consumer and robot applications in retail environments
  • NonFoodKG Application page - my non-food product knowledge graph application page with different applications like a Sparklis webpage to query the knowledge graph and NutrOn, a nutritional support website for consumers
  • Knowledge 4 Retail BMWi project: My focus in this project is the creation of Knowledge Graphs and their interfaces for retail applications
  • EASE DFG CRC: My focus in this project is the connection of robots to Semantic Web sources like wikidata for household applications


Supervised Theses



  • Bachelor Thesis of Karin Doberstein: “Eine Lebensmittelallergene Ontologie zur Erweiterung einer Mobilgeräte-Applikation mit Zweck der Erkennung enthaltener Allergene in Produkten” (A food allergen ontology to extend a mobile application for detecting allergens in products)
  • Bachelor Thesis of Toni Aleksandrov Kozarev: “Developing a Mobile Application for Product Finding in Digital Twins of Retail Stores using Augmented Reality”
  • Bachelor Thesis of Andrew-Adair Saunders: “Augmented Reality Linked Data Recipe Finder”
  • Bachelor Thesis of Nazmi Ahmad: “Generierung von Episodic Memories in einem Virtual-Reality-Modell” (Generation of Episodic Memories in a Virtual-Reality-Model)
  • Bachelor Thesis of Callum Jänicke: “The Wikidata Use Case: Analyzing the usability of Wikidata Knowledge for Software Agents”
  • Bachelor Thesis of Jan-Andree Pangritz: “Erzeugung einer Ontologie für eine Anwendung in der Trennung von Produktverpackungen” (Ontology creation and application for package separation)
  • Bachelor Thesis of Naser Azizi and Sorin Arion: “Eine Nährwert Ontologie mit Web-Anwendungen für benutzerspezifische empfohlene Nährwertzufuhr” (A nutrition ontology with web interface for customer specific dietary recommendations)
  • Bachelor Thesis of Klaus Prüger: “Visualisierung von virtuellen Gedächtnissen in Augmented Reality” (Visualization of virtual memories in Augmented Reality)
  • Master Thesis of Jonas Dech: “A Knowledge Based Shopping Assistant in a Retail Environment using VR Tracking”


  • Bachelor Thesis of Luca Barre: “Ontologie-basierte Sprachauswahl eines AR-Shopping Assistenten” (Ontology-based speech selection in Augmented Reality Shopping Assistance)
  • Bachelor Thesis of Maik Daniel Klause: “Evaluation of Linked Data in Cognitive Robot Control for kitchen scenarios”


  • Master Thesis of Anna de Groot (collaboration with VU Amsterdam): “Knowledge Graph Enabled Virtual Reality in the Kitchen Domain”


Journal Articles and Book Chapters
[1]Kümpel, Michaela and Mueller, Christian A. and Beetz, Michael, "Semantic Digital Twins for Retail Logistics", Chapter in Dynamics in Logistics: Twenty-Five Years of Interdisciplinary Logistics Research in Bremen, Germany, Springer International Publishing, Cham, pp. 129–153, 2021. [bibtex] [url] [doi]
Conference Papers
[2]Dhanabalachandran, Kaviya, Hassouna, Vanessa, Hedblom, Maria M., Kümpel, Michaela, Leusmann, Nils and Beetz, Michael, "Cutting Events: Towards Autonomous Plan Adaption by Robotic Agents through Image-Schematic Event Segmentation", In Proceedings of the 11th on Knowledge Capture Conference, Association for Computing Machinery, New York, NY, USA, pp. 25–32, 2021. [bibtex] [url] [doi]
Workshop Papers
[3]Kümpel, Michaela, de Groot, Anna, Tiddi, Ilaria and Beetz, Michael, "Using Linked Data to Help Robots Understand Product-related Actions", In JOWO 2020, The Joint Ontology Workshops, vol. 2708, 2020. [bibtex] [pdf]
Other Publications
[4]Michaela Kümpel and Michael Beetz, "Realizing Trustworthiness in Linked Data Applications Based on Individual Data Source Trust Assessment.", 2021. [bibtex] [pdf]