3 ms·
The scope of those is pretty limited (i.e., helping people categorize their discogs with a dozen or so common fields) and isn't really a "musical ontology" wher
by ok123456 5y ago
The scope of those is pretty limited (i.e., helping people categorize their discogs with a dozen or so common fields) and isn't really a "musical ontology" where you're hooking it up to a first order logic solver and reasoning about music or whatever mythical use case drives most of that work.
- alex_c 5y agoSort of... They are used at scale to share and ingest data between services, for things like recommendations, etc. But it is messy, a lot of the ontology is more or less the same but every company/database does things slightly differently. Most of the difficulties are with matching artists and content across different databases, which is a separate issue. The ontology itself is tangential, but one example where it's important (even if it's not a fully / cleanly solved problem).