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by AtlasBarfed 2300 days ago
Yeah, the SPARQL people need to realize that the semantic web was a massive dud in the programming and database market, and a lot of that was overreach, overpromise, and a lack of focus on "real-world" problems.

Thus, if someone is looking to unify graph QLs that are in actual use in "business" problems, SPARQL and the overall RDF aren't going to get attention. You can start with the fact that RDF basically assumes you want to globally address all your data with URIs, which will result in ridiculously verbose overhead in naming/addressing. Nevermind the fact that such things basically promise some sort of long term durability that the actual web has shown doesn't exist. After all, today's URI link to URI www.tla.com/link/to/some/data can mean the world wide wrestling foundation one day, and the world wildlife foundation the next.

In particular, Gremlin was adopted by DSE / Titan / successor to Titan which ran atop Cassandra for near-limitless scalability.

RDF and the Semantic web, while being intended for the massive WWW, seemed to not have any care for demonstrating techniques, queries, and architectures at scale.

Likewise, are Datalog and Prolog used extensively?

2 comments

Both Prolog and SPARQL/RDF/Semantic Web are used at scale and pretty extensively. Unfortunately often behind closed doors, but there are very performant systems involved.

URIs and RDF in general don't need to use public HTTP links or anything like that, meanwhile the layered systems like OWL and RDFS provide some impressive features for implementing complex systems, especially when you actually want to use a semantic graph instead of loosely-schemed bag of nodes and vertices common in non-RDF graph databases.

So sqarql rdf should stick to it's limited application space and let more generally applicable graph technologies go their own way
Except it's actually a superset of those simplistic models.

It's just not getting the "kool" looks and gushing reviews, mostly written by people who totally missed all the previous research. Which is a common problem all around in computing.

Datalog is used fairly extensively in the Clojure world, in Datomic and a handful of other implementations.