Open acka47 opened 3 days ago
create a JSON-LD context document mapping properties and types to URIs
On my end I would imagine than rather than just map the existing properties and types to new URIs one would adopt existing vocabularies like DCAT(for much of the manifests), Activity Streams/Web Annotations for reconciliation requests, schema.org, etc.
This would allow us to take advantage of so much ecosystem and tooling from day one and completely skip a lot of the adoption that would otherwise be needed.
On my end I would imagine than rather than just map the existing properties and types to new URIs one would adopt existing vocabularies like DCAT(for much of the manifests), Activity Streams/Web Annotations for reconciliation requests, schema.org, etc.
This would allow us to take advantage of so much ecosystem and tooling from day one and completely skip a lot of the adoption that would otherwise be needed.
Thanks. So, you basically want to create kind of a metadata profile for the reconciliation API based on existing vocabularies. This is definitely something we'd need to discuss. I am also a fan of metadata profiles in an application context or one specifying community profiles. I haven't seen a metadata profile yet for protocols and I assume it will be hard to cover every bit of the reconciliation API with existing RDF properties and classes...
I haven't seen a metadata profile yet for protocols and I assume it will be hard to cover every bit of the reconciliation API with existing RDF properties and classes...
I wouldn't expect that one would be able to cover all of it with existing properties and classes but just getting the basics interoperable would go a long way.
Pretty much STEP 6 https://www.w3.org/TR/ld-bp/
Also least we forget: https://www.w3.org/TR/cooluris/ But generally:
But how to be on the Web with this approach? How to enable agents to download more data about resources we mention? There is a best practice to achieve this goal: Provide not only the IFP of the resource (e.g. the person's email address), but also an rdfs:seeAlso property that points to a Web address of an RDF document with further information about it. We see that HTTP URIs are still used to identify the location where more information can be downloaded.
Until now, JSON-LD came up in:
We probably need to get on the same page about our goals of supporting JSON-LD for the reconciliation API. I am formulating this from my point of view as someone who likes JSON-LD a lot in terms of an extended JSON that enables unambigously identifying the properties/JSON keys used and referencing the documentation for each key. However, until now I mostly have not been persuaded to make investments needed to optimize usage of the JSON-LD data as RDF e.g. by enabling enable reasoning or optimizing for SPARQL queries.
Why JSON-LD?
To get a clearer picture what we are actually talking about, I am distinguishing four levels of JSON-LD adoption which will require different levels of discussion and workload to accomplish. I go from easiest to most complex.
1. We just want the data delivered by Reconciliation endpoints to be valid JSON-LD
2. We also want property/type URIs to resolve
3. We want property and type URIs to resolve to a RDFS/OWL reconciliation vocab
4. We want JSON-LD that can be used as RDF together with an ontology to support reasoning on Reconciliation API payloads (or other Semantic Web magic)