| Linked Art | https://linked.art/ |
| [email protected] | |
| https://www.linkedin.com/in/robert-sanderson/ | |
| Previously | @azaroth42 on that other site |
| Linked Art | https://linked.art/ |
| [email protected] | |
| https://www.linkedin.com/in/robert-sanderson/ | |
| Previously | @azaroth42 on that other site |
@acka47 Ahh foaf:focus. And madsrdf:identifiesRWO from LC. Yeah, now you have at least linked the problem and the concept of the problem :D
Schema has a very low commitment ... can be good, can be painful when you're looking to build consistency across datasets.
@mike And there are foundational models out there, eg off the top of my head:
* BFO: https://obofoundry.org/ontology/bfo.html
* gist: https://www.semanticarts.com/gist/
* CRM: https://cidoc-crm.org/Version/version-7.2.4
etc. Or, another way to look at it, we can all agree that Lassie is a biological thing, classified as a dog. Some might want further assert agency, some have a different worldview about animals. But if we could at least agree on the higher classes, there'd be a framework for discussion of the specifics
@mike No, but we map all external sources into the conceptual model we use internally to compare apples and apples. Sometimes that mapping is pure guesswork based on element names tho! :(
Is it better than non sem-web? Yes, in that the graph structures and individual representations of entities are much easier to work with, better documented, and tend to link to equivalent records across datasets. e.g. ulan:Rembrandt == lcnaf:Rembrandt, not ulan:Rembrandt residence lcnaf:Amsterdam