for reference, here's a pretty good modeling paper that we like to distribute for new folks: https://zenodo.org/records/3898519#.YqyUCS-B3xq -- if I ever have spare time, I'd like to write a new take on this, but I think she does a great job covering the foundational aspects
Interesting, thanks your sharing. Could you clarify in what sense this is geared towards data engineers? In what way does it specifically target them as an audience?
@albaker Hey, thanks! That seems like a really useful resource full of links to other resources.
@luke FYI ^^^
it covers the basics of RDF, OWL, SPARQL, some amount of existing ontologies and has some narrative on how you think about identifying key entities and relationships in data modeling and expressing them in an ontology. In particular, when we bring on new folks, I want to make sure they understand good identifier practices for building URIs in the graph, understand that ontology composition and re-use is both possible and potentially fine grained, and get them being able to read/write TTL and SPARQL so they are productive quickly
this would be in contrast to material that focuses more on modelers or ontologists, who may often use tools and not read the file formats directly, whereas a data engineer may build a pipeline that convert data into RDF, programmatically build and execute SPARQL queries, and so on.