The Knowledge Graph - The Story from Daydream to Reality
summary
Claims that linking organizational data as graphs lets LLMs answer grounded, private queries by blending web-scale metadata with internal facts; a demo early in GPT‑3 era connects GPT-3 + knowledge graph demo to enterprise data using JSON-LD islands (roughly half of indexed pages expose such snippets), and projects like DBpedia turn Wikipedia into a usable graph. Tools cited: RDF/JSON‑LD, schema.org extensions, graph storage and inference engines. Result: web‑scale data integration and practical agentic systems become feasible rather than hypothetical.
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chapters (9)
- 0:00Introduction to knowledge graphs
- 5:04From isolation to technology
- 11:52Philosophy behind knowledge
- 27:15Birth of artificial intelligence
- 35:45Data revolutions and databases
- 47:40Personal computer revolution
- 51:36Data silos and integration
- 57:17Semantic web and AI revival
- 1:00:09Future of knowledge graphs
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