Is Web 3.0 close to be solved by LLMs (+ logic frameworks)?

Question

Web 3.0 (the semantic web) [1] never had traction or impressive results. DBpedia and Freebase are/were clear examples that if we structure realities (whatever it means) into data structures such as RDFs we can create more impactful queries and results than normal search engines and databases. IMHO the main obstacle for the semantic web was transforming content to a standard data structure. Once this is [quasi]solved the other processes are well known in computer science.I was playing with LLMs to convert content to RDF or JSON structures with good results. You can interact with an LLM and ask to create those structures and insist on going deeper with some guidance.Do you think we are there or close enough?[1] https://en.wikipedia.org/wiki/Semantic_Web

mikewarot · Accepted Answer

I believe that LLMs are quite useful for sentiment analysis, and could be quite helpful as an aid to search engines. However... the best way to do it would be for LLMs to ingest the entire web and give those analysis for each and every bit of text and image out there.... which is computationally infeasible at present.
If Moore's law can hold for a few more generations of chips, it might become possible.
LLMs are not going to be reliable search engines, but most people will likely be happy with them, especially due to the consistently falling quality of Google's results in comparison. Things that would have been laughed at a decade ago will now be seen as an improvement.

solomatov · Answer

We won&rsquo;t need semantic web if machines are able to understand natural language.