Teaching semantic web technologies through interactive Jupyter Notebooks

Getting new generations of developers excited about the benefits of the Semantic Web and familiar with the underlying technologies is one of the biggest challenges for furthering its adoption. Inspired by the success of structured digital learning materials in other domains of computer science, we present SemWebNotebooks, a portfolio of interactive Jupyter Notebook tutorials for teaching Semantic Web technologies interactively. By introducing the Jupyter-RDFify plugin, we seamlessly integrate support for RDF and related standards into the Jupyter ecosystem. Motivated by the overwhelmingly positive feedback provided by the students using these materials at RWTH Aachen University and correspondingly high technology acceptance, we release both Jupyter-RDFify and SemWebNotebooks to the community as open source for open reuse and further collaborative improvement.