[capevace]

So I don’t personally have many use cases for RDF-type data, but I plan on implementing RDF data endpoints in a music library app I’m building.

I suppose RDF thrives in the academic space, whereas userspace suffers from a chicken and egg type problem. There aren’t many common services available that have public RDF endpoints, so few applications using them get built.

Edit: I suppose that’s what LinkedDatHub provides then, a way for researchers to build API-transformers into their graph, so they can then use it with SPARQL.

[namedgraph]

It doesn't have many ETL features, but it does support CSV import.

What kind of data are you looking to transform?

[capevace]

Basically I’m combining your local music library with data from streaming services so you have unified playlists across them.

So basically I’m having to match a bunch of resources like songs together from different APIs.