[walterbell]

> If all knowledge were stored in a structured way with rich semantic linking, then very primitive natural language processing algorithms could parse question like the example at the beginning of the article, and could find the answer using orders of magnitude fewer computational resources.

In vertical markets, can LLMs generate a "semantic web of linked data" knowledge graph to be parsed with efficient NLP algorithms?

https://news.ycombinator.com/item?id=43914227#43926169

  leveraging LLMs to build the special markup so that it can be applied towards other uses.. some type of semantic web format, like JSON-LD or OWL, or some database that can process SPARQL queries.. Palantir is using ontologies as guardrails to prevent LLM hallucinations

[nrjames]

Palantir was 90% about ontology creation back when I first used it in 2009. They knew at that point that without some level of structure that mapped to the specific business problem that the data input into the graph was difficult to contextualize.