- From: David Booth <david@dbooth.org>
- Date: Tue, 17 Mar 2015 17:53:20 -0400
- To: "its@lists.HL7.org" <its@lists.HL7.org>, "public-semweb-lifesci@w3.org >> w3c semweb HCLS" <public-semweb-lifesci@w3.org>
The main discussion today was around the potential use of JSON-LD to achieve our FHIR RDF mapping. I gave an update on what I have learned and my conclusions to date. Slides I used: http://dbooth.org/2015/fhir/json-ld/fhir-in-json-ld.pdf Main take-aways: - Most of the issues previously identified are not major problems. - It seems best (to me) to take a very direct transliteration approach in mapping to RDF. (This is what EricP and Josh Mandel had concluded from there work also.) This means that the resulting RDF will look very much like the original JSON (or XML) but with different syntax. This approach eliminates lots of potential problems in round tripping, but it also means that the resulting RDF may not be ideal for SPARQL or inference. - The main remaining technical issue is that JSON-LD has no way with a single @context to differentiate between different uses of a term, because (for example) both Observation.code and Coding.code simply appear as "code" properties in the JSON, though at different places in the hierarchy. The main problem that this causes is that some may hold @list values and others not. One potential solution is to generate all values in RDF lists. Another was suggested by Grahame in email: https://lists.w3.org/Archives/Public/public-semweb-lifesci/2015Mar/0065.html - We'll try to figure out how much of a gap there would be, between "direct RDF" and "ideal RDF", to see if the direct approach (whether via JSON-LD or a custom mapping) can be close enough to the ideal to be acceptable. EricP will suggest a use case for analysis. Full meeting record: http://www.w3.org/2015/03/17-hcls-minutes.html David Booth
Received on Tuesday, 17 March 2015 21:53:49 UTC