Interesting writeup. I'm of the opinion that the problem of the naming issue (how to call "things"?) sits in the idea that going from structured documents to structured data is one abstraction level too deep (i.e., people don't agree on how to call "things"). I believe this can be solved by similarity search; if we can approximate the data and represent the structure in embeddings. Hopefully, this might be a step in the 2nd try, as mentioned in the MD :)

> It would be like wikipedia, but even more all encompassing, and far more transformational.

You might like to see this (https://weaviate.io/developers/weaviate/current/tutorials/se...) as a step in this direction because it contains the structured Wikipedia data and the embeddings to target individual nodes in the graph.