Knowledge Representation & Reasoning
Our vision is to investigate, innovate, propose, and build symbiotic systems that mutually exploit language models (LM) and knowledge graphs (KG) in a continuous and (semi-) automated learning paradigm to address current challenges.
AI for Data Management
We utilize large language models in novel settings for finding table representations to discover datasets in data lakes, data augmentation techniques for data management tasks, and different declarative explanation approaches for data integration tasks.
