I've built a few solutions with graph databases (cypher is my query language preference, oddly) and use an RDF/OWL ontology for some personal documentation projects, and what I think holds it back in production is it is too powerful.
"Too powerful" doesn't seem like a thing until you realize it undermines DBA's skill investments, means business level people have to learn something and solve their own problems instead of managing them, disrupts the analyst level conversations that exist in powerBI and excel, seems like an extravagent performance hit with an unclear value prop to devops people, and gives unmanageable godlike powers to the person who operates it. (this unmanagability aspect might be what holds graph products back too)
If you don't believe me, the list of companies who use them also get a rep for having uncanny powers because of their graphs, FB, twitter, palantir, uber, etc.
Using ML to parse and normalize data to fit categories in RDF graphs is singularity-level tech, imo and where that exists today, I'd bet it's mostly secret.
It's very fascination field with a lot of potential, but we're still far from that singularity, unfortunately.
I'm interested in this field and find it fascinating but we're still in it's early dark ages.
when it comes to Knowledge representation and reasoning there's too much emphasis on the representation part and less on the reasoning part, but even this representation part is not a solved problem.
"Too powerful" doesn't seem like a thing until you realize it undermines DBA's skill investments, means business level people have to learn something and solve their own problems instead of managing them, disrupts the analyst level conversations that exist in powerBI and excel, seems like an extravagent performance hit with an unclear value prop to devops people, and gives unmanageable godlike powers to the person who operates it. (this unmanagability aspect might be what holds graph products back too)
If you don't believe me, the list of companies who use them also get a rep for having uncanny powers because of their graphs, FB, twitter, palantir, uber, etc.
Using ML to parse and normalize data to fit categories in RDF graphs is singularity-level tech, imo and where that exists today, I'd bet it's mostly secret.