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by namedgraph 1964 days ago
Yes RDF is in its own niche -- data interchange. And that's where merge matters, when you for example need to merge protein data with genes and drugs etc. A bunch of pharma companies are using RDF Knowledge Graphs for that purpose. The need for data interchange comes with a certain company size, and that point RDF becomes the solution because there are no real alternatives.

I'm not talking about replacing JSON with RDF. Don't need data interchange -- don't use RDF. RDF is both at a different level of abstraction and solving problems of different scope.
1 comments
wuschel 1964 days ago
> merge protein data with genes and drugs

Could you perhaps recommend some industry case studies or publications on that specific problem area of biopharmaceuticals?

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namedgraph 1963 days ago
This is one recent meta-study: https://www.nature.com/articles/s41597-021-00797-y

One of the main datasources is uniprot.org.

I know for a fact that AstraZeneca, Novo Nordisk, Novartis, Roche, Boehringer Ingelheim are all using RDF Knowledge Graphs, and there are probably many others. It would take some time to find the references though.

Check out our company page, maybe we can help ;) https://atomgraph.com/

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