Yes, pretty much all knowledge management in biology is built upon technologies that came from the semantic web community, and biology is certainly not just academia.
There's not much application for knowledge graphs in e.g. a CRUD app of customer names and addresses, but turns out there are an unlimited number of things you can describe about e.g. a protein, and you can't just design one schema because you don't know how it's going to be queried.
See: https://bioregistry.io for countless examples of public datasets used everywhere from academia to "big pharma".
There's not much application for knowledge graphs in e.g. a CRUD app of customer names and addresses, but turns out there are an unlimited number of things you can describe about e.g. a protein, and you can't just design one schema because you don't know how it's going to be queried.
See: https://bioregistry.io for countless examples of public datasets used everywhere from academia to "big pharma".