Franz Krause – PhD Researcher

B6, 26, Room B 0.02

franz.krause (at)

Areas of research and interest

  • Machine Learning Applications on Linked Data
  • Dynamics of Knowledge Graph Embeddings
  • Knowledge Graphs in Industry 4.0 Applications
  • Explainability of AI Predictions
  • Applied Graph Theory

Projects – Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing



F. Krause, X. Yan, B. Darnala, and M. Dumontier

On the Combination of Event Calculus and Empirical Semantic Drifts

Proceedings of Semantic Methods for Events and Stories co-located with ESWC (SEMMES 2023)


M. Schlechtinger, D. Kosack, H. Paulheim, T. Fetzer, and F. Krause

The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents

Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems 2023 (AAMAS 2023)


F. Krause, T. Weller, and H. Paulheim

On a Generalized Framework for Time-Aware Knowledge Graphs

Proceedings of the 18th International Conference on Semantic Systems 2022 (SEMANTiCS 2022)


F. Krause

Dynamic Knowledge Graph Embeddings via Local Embedding Reconstructions

Proceedings of The Semantic Web: ESWC 2022 Satellite Events


A. Nguyen, F. Krause, D. Hagenmayer, and M. Färber

Quantifying Explanations of Neural Networks in E-Commerce Based on LRP

Proceedings of Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track – European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021 (ECML PKDD'21)



Best Paper, 18th International Conference on Semantic Systems 2022 (SEMANTiCS 2022) 


Best Presentation, International Semantic Web Summer School (ISWS) 2022