In the NFDI4Culture consortium, we have been working on building a research knowledge graph that ties together research data from diverse disciplines like architecture, art history and musicology to theatre, dance, film and media studies.
This means finding research data in many diverse formats, and presenting the data in a unified, user-friendly format that can be used to build further infrastructures.
In my talk I would like to share what tools we use to do this, and show some raw data and how we convert that into the RDF Data model, and especially why we do so, and what the benefits are.
In the spirit of barcamp, questions and use-cases from the audience are welcomed, and we can consider the feasibility of modelling these from a Linked Data perspective.
The RDF model (and Linked Open Data movement) has been considered an „old“ technology in many circles, but with the limits of Large Language Models now becoming pressing, has seen revived interest as an open standardised way to build knowledge graphs.For some excellent background information I would like to recommend the free course by Prof Harald Sack, which can be watched entirely on Youtube (https://www.youtube.com/playlist?list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF).
