Comment Comment by BenoitP This is nice!I believe we are just ripe for a new semantic web cycle. This is what comes after AI has had a long enough summer, right?> Cartwright can easily detect things like country, day, latitudeCan it do so in a normalized way? It'd be great to have it produce an "official type" like this one:https://www.wikidata.org/wiki/Q34027Then one can imagine a graph-based feature augmentation with other datasets, and learn a SPARQL query. Linking the lat-long pair in a real-estate dataset to geographical features[1] might give a hedge to predicting the local price map.[1] from the SPARQL wikidata examples: https://query.wikidata.org/#%23Museums%20in%20Brittany%0ASEL... parent BenoitP 4 years ago
I believe we are just ripe for a new semantic web cycle. This is what comes after AI has had a long enough summer, right?
> Cartwright can easily detect things like country, day, latitude
Can it do so in a normalized way? It'd be great to have it produce an "official type" like this one:
https://www.wikidata.org/wiki/Q34027
Then one can imagine a graph-based feature augmentation with other datasets, and learn a SPARQL query. Linking the lat-long pair in a real-estate dataset to geographical features[1] might give a hedge to predicting the local price map.
[1] from the SPARQL wikidata examples: https://query.wikidata.org/#%23Museums%20in%20Brittany%0ASEL...