Andreas Burgdorf, M.Sc.
Scientific Researcher
Area of Research:
- Natural Language Processing
- Large Language Models
- Semantic Data Management
- Artificial intelligence in a university context
Biography
Dr. Andreas Burgdorf has been working as a research assistant at the TMDT at the University of Wuppertal since September 2019.
Dr. Burgdorf studied computer science with a focus on medical applications at RWTH Aachen University. From October 2016 to August 2019, he was a research assistant at the Cybernetics Lab IMA & IfU, where he carried out various research and development projects on the use of machine learning and natural language processing in the fields of logistics, telecommunications, and production before moving to the University of Wuppertal. There, he received his doctorate in April 2025 with a thesis entitled “A Novel Approach to Semantic Mapping through a Documentation-Centric Methodology.”
He took over as head of KI4BUW in 2023 and is involved in various aspects of strengthening AI expertise at the University of Wuppertal.
Publikationen
- 2023
- Paulus, A., Burgdorf, A., Stephan, A., Pomp, A., & Meisen, T. (2023). "Using Node Embeddings to Generate Recommendations for Semantic Model Creation" in Proceedings of the 24th International Conference on Enterprise Information Systems , Filipe, Joaquim and Śmiałek, Michał and Brodsky, Alexander and Hammoudi, Slimane, Eds. Cham : SciTePress - Science and and Technology Publications 699—708.
ISBN: 978-989-758-569-2
- 2022
- Burgdorf, A., Paulus, A., Pomp, A., & Meisen, T. (2022). "DocSemMap 2.0" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : Association for Computing Machinery 98—107.
ISBN: 9781450392365
- Burgdorf, A., Paulus, A., Pomp, A., & Meisen, T. (2022). "DocSemMap: Leveraging Textual Data Documentations for Mapping Structured Data Sets into Knowledge Graphs" in 2022 IEEE 16th International Conference on Semantic Computing (ICSC) , IEEE 209—216.
ISBN: 978-1-6654-3418-8
- Burgdorf, A., Barkmann, M., Pomp, A., & Meisen, T. (2022). "Domain-independent Data-to-Text Generation for Open Data" in Proceedings of the 11th International Conference on Data Science, Technology and Applications , SciTePress - Science and and Technology Publications 95—106.
ISBN: 978-989-758-583-8
- Paulus, A., Burgdorf, A., Langer, T., Pomp, A., Meisen, T., & Pol, S. (2022). "PLASMA: A Semantic Modeling Tool for Domain Experts" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : Association for Computing Machinery 4946—4950.
ISBN: 9781450392365
