Some of our stuff is simple database lookup (ala Google knowledge graph), other stuff is more algorithmic and computational in nature.
The problem we've had with SPARQL and co is that we feel it isn't optimized for computational queries. Ontologies don't matter as much in that case, and inference in tuple stores costs you significantly in performance, although the technology is improving.
As often as not, however, the computationally irreducible work lies in making a domain suitable for computational consumption, not in the technology used for representation.
To analogize, UTF-8 is great, but without the notion of Unicode code points it wouldn't exist.
The problem we've had with SPARQL and co is that we feel it isn't optimized for computational queries. Ontologies don't matter as much in that case, and inference in tuple stores costs you significantly in performance, although the technology is improving.
As often as not, however, the computationally irreducible work lies in making a domain suitable for computational consumption, not in the technology used for representation.
To analogize, UTF-8 is great, but without the notion of Unicode code points it wouldn't exist.