The article states "When that same data is transformed into a knowledge graph"

This is a non-trivial exercise. How does one transform knowledge into a knowledge graph using RDF?

RFD is extremely flexible and can represent any data and that's exactly it's great weakness. It's such a free format there is no consensus on how to represent knowledge. Many academic panels exist to set standards, but many of these efforts end up in github as unmaintained repositories.

The most important thing about RDF is that everyone needs to agree on the same modeling standards and use the same ontologies. This is very hard to achieve, and room for a lot of discussion, which makes it 'academic' :)