I’m struggling to see why this is better than OWL/RDF and SparQL. Given the breadth and depth of semantic web knowledge in the corpus they do an amazing job discovering well established ontologies and building new ones on presented data and querying it with sparql. In fact better than almost anything I’ve seen. What an irony that the semantic web after all these years is likely to find a real use - it’s original one in fact.
Few thoughts:
- you need some engine to support your owl/rdf/sparql, and all available are lower quality/perf/features than pg
- its easier for LLMs to talk standard SQL compared so some version of sparql
Aren’t these data formats and query engines? You still need something to extract and maintain the ontology no?
I am new to this field and our org struggle with authoring and documenting existing implicitly given ontologies. It is like working with archeology, and proposed automated solutions like nvidia’s seem alluring in that regard. What would be your suggestion for a way to extract the ontology/RDF/OWL/graph from existing underdocumented fields?