Knowledge Graph & Linked Data

Our research in Knowledge Graphs and Linked Data focuses on structuring and connecting heterogeneous data to enable intelligent, interoperable, and context-aware systems. We develop scalable methods for semantic modelling, reasoning, and integration that support open, dynamic, and trustworthy data ecosystems. Embracing the dataspace paradigm, we aim to facilitate flexible data collaboration while preserving autonomy, privacy, and data sovereignty. Our vision is to drive data-driven innovation by transforming fragmented information into connected, meaningful, and actionable knowledge. ​​