Computer Science Institute
University of Bonn
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
Carsten Felix Draschner is a PhD Research Fellow at the University of Bonn in Smart Data Analytics. He is working in the group ‘Distributed Semantics Analytics’ that deals with distributed analytics, machine learning, and big data. He did his Bachelors and Masters in Computer Science with the focus on Intelligent Systems. He worked for the Research Institute for Discrete Mathematics Bonn, Federal Financial Supervisory Authority of Germany and as Data Scientist in a Cologne AI Startup.
- Machine Learning
- Knowledge Graphs
- Data Science for Social Good
- Artificial Intelligence Creativity
- Distributed Computing
- Big Data
- Data Mining and Data Analysis
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs Inproceedings
In: 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2022, Laguna Hills, CA, USA, September 19-21, 2022, pp. 1–8, IEEE, 2022.
Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning Inproceedings
In: 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2022, Laguna Hills, CA, USA, September 19-21, 2022, pp. 53–60, IEEE, 2022.
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs Inproceedings
In: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pp. 4465–4474, ACM, 2021.
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor Inproceedings
In: Further with Knowledge Graphs - Proceedings of the 17th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, The Netherlands, September 6-9, 2021, pp. 74–88, IOS Press, 2021.
DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs Inproceedings
In: 15th IEEE International Conference on Semantic Computing, ICSC 2021, Laguna Hills, CA, USA, January 27-29, 2021, pp. 333–336, IEEE, 2021.