Andreas Burgdorf, M.Sc.
Scientific Researcher
Area of Research:
- Natural Language Processing
- Anonymization
- Machine Learning
- Mobile Health
Biography
Andreas Burgdorf joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal in September 2019 as a research associate and doctoral student.
His research focuses on data analysis, machine learning, and industrial natural language processing, as well as on the topics of anonymization and monitoring sleep using mobile sensor technology.
Mr. Burgdorf studied computer science with the application subject medicine at RWTH Aachen University. There, he was a research associate at the Cybernetics Lab IMA & IfU from October 2016 to August 2019, where he conducted various research and development projects on the use of machine learning and natural language processing in the fields of logistics, telecommunications, and manufacturing.
Publikationen
- 2024
- Hoseini, S., Burgdorf, A., Paulus, A., Meisen, T., Quix, C., & Pomp, A. (2024). "Towards LLM-augmented Creation of Semantic Models for Dataspaces" in The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
- 2023
- Pomp, A., Burgdorf, A., Paulus, A., & Meisen, T. (2023). "Using IoT Technology for the Skilled Crafts" in Enterprise Information Systems , Cham : {Springer Nature Switzerland} , 48--63.
ISBN: 978-3-031-39385-3
- Paulus, A., Burgdorf, A., Pomp, A., & Meisen, T. (2023). "Collaborative Filtering Recommender System for Semantic Model Refinement" in 2023 IEEE 17th International Conference on Semantic Computing (ICSC) , IEEE 183—190.
ISBN: 978-1-6654-8263-9
- 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
