SPARQL

Contrary to popular belief, it has actually brought on some benefits, especially related to the fact that public-facing IPs on each job tend to be distinct, and thus lets you circumvent some rate limiters by spreading your work across IPs.

Chilean Legal Data Sources, BCN, Ley Chile and SPARQL.

Lucky for the Chilean folk, our National Library of Congress keeps in-depth, updated, accurate and densely linked data on the legal history of the country.

They've got laws spanning from the country's first provisional government in 1810 to the present day.

HTTPS colon slash slash Datus.

BCN.

CL to public SPARQL database.

HTTPS colon slash slash www.

Yeah.

I think it's a blessing for knowledge graphs 'cause traditionally it's been hard to build a knowledge graph, and it's been hard to consume a knowledge graph, right? Like, so if you take a, a random sample of front-end developers or even back-end developers, they, they don't know how to SPARQL, right? Like, they, they don't know that, so you, you're ending up writing, you know, um, middleware layers that convert, and sometimes it's artificial.

Um, but, but now, like you just plug your agent and people just start to ask questions and, um, your AI will figure out how to extract the knowledge from the graph, right? And we can talk about this a little more, right? Like about the consumption, uh, a-and things.

There's, there's a lot, right, onto what you, what you need to provide in order to make that work.

Do the whole thing.

You know, at the end, you know, the things that I didn't mention about the rest of the process is, you know, once you're done, you know, things are merging, the ontology, the data is converted.

Uh, then you take your competency questions, you transform them to SPARQL queries.

You have validation steps, uh, and, and all...

Mm-hmm.

And, and it's hard to get there, and that's why we've had so many standards like SPARQL and, and RDF as just a communications form of that.

And now we see what was the Open Semantic Interchange, which they renamed to OSSIE, O-S-S-I-E, because it needed to be renamed, apparently.

Um-

I don't know.

But, but, uh, you know, w-what Microsoft is doing right now, uh, is filling that gap between, you know, what you have with your existing semantic models and what you can have in a ground-up ontology.

Most ontologies, and the reason why we have OWL and SPARQL and SHACL and all that other crap is, you know, top-down, "Let's, let's have a committee meeting and figure out what, you know, all the rules are in our business for doing business with our data, and let's codify that."

Yeah.