The web is literally exploding with data, including a large part of humanity's knowledge. But how can this knowledge be organized in such a way that researchers can find their way around and computers can also absorb the knowledge as data? This is an important question, as it ultimately concerns concrete scientific practices and the long-term preservation of knowledge.

This seminar introduces semantic data modeling and knowledge graphs for the humanities and cultural heritage. We will explore how cultural and historical phenomena and things can be represented through so-called ontologies for the Semantic Web. How do we store our knowledge about historical events, publications, and ideas in such a way that both computers and our colleagues can deal with it? What are the philosophical and practcial implications of standardising data? Why should we invest ourselves into digital humanities data?

No prior technical knowledge required.

Semester: ST 2026