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
- 2022
- 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 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
- Pomp, A., Burgdorf, A., Paulus, A., & Meisen, T. (2022). "Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts" in Proceedings of the 24th International Conference on Enterprise Information Systems , SCITEPRESS - Science and Technology Publications 203—210.
ISBN: 978-989-758-569-2
- Paulus, A., Burgdorf, A., Stephan, A., Pomp, A., & Meisen, T. (2022). "Using Node Embeddings to Generate Recommendations for Semantic Model Creation" in Proceedings of the 24th International Conference on Enterprise Information Systems , SCITEPRESS - Science and Technology Publications 699—708.
ISBN: 978-989-758-569-2
- Burgdorf, A., Paulus, A., Pomp, A., & Meisen, T. (2022). "VC-SLAM - A Handcrafted Data Corpus for the Construction of Semantic Models" , Data , 7 (2),
