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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 t

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 4y ago
It doesn't have many ETL features, but it does support CSV import. What kind of data are you looking to transform?
- capevace 4y ago
  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.