Teaching

We regularly offer Bachelor's and Master's theses in the areas of data management and artificial intelligence. Our topics are often embedded in ongoing research projects, providing the opportunity to contribute to cutting-edge research.

Current Thesis Topics

• Knowledge Graphs
• Large Language Models
• Improving the Quality of Knowledge Graphs
• Synthetic and Evolving Knowledge Graphs
• Provenance and Explainability
• Data Integration and Sharing
• Efficient Query Processing over Heterogeneous Data Sources

If you're interested, feel free to contact us by email. We're also happy to discuss your own topic proposals!

Courses

The team is actively involved in teaching at TU Wien, particularly in the following areas:

• Database Systems / 184.686 / VU / next: SS2025
• Business Intelligence / 188.429 / VU / next: WS2025
• Management of Graph Data / 192.161 / VU / next: WS2025
• Introduction to Semantic Systems / 188.399 / VU / next: WS2025
• Wissenschaftliches Arbeiten / 193.052 / VU / next: WS2025

Completed Theses

• Master Thesis: Contextual Rule Learning for Knowledge Graphs Using Large Language Models – Orwa Suman, 2025
• Bachelor Thesis: Interactive RDF Graph Exploration for FHIR Resources – Arslan Smajevic, 2025
• Master Thesis: SHACL Shapes Extraction for Evolving Knowledge Graphs using QSE – Eva Pürmayr, 2025
• Bachelor Thesis: SHACL Shape Validation for Evolving Knowledge Graphs – Mathias Möller, 2024