Automating the detection of geographic and temporal features

Re:Automating the detection of geographic and temporal features by BenoitP on Thursday November 17, 2022 @11:59AM (#33641855)

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, 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...

[ Parent | on HN ]

Re:Automating the detection of geographic and temporal features by brandonmrose on Thursday November 17, 2022 @12:32PM (#33642425)

That's actually a great idea. We use schemas for the categories it detects but could tie them to wikidata entries which is far more generalizable. Will look into this!

We're also aiming to explore using large language models to support/improve this.

[ Parent | on HN ]