Knowledge Graphs — Topic Summaries
AI-powered summaries of 7 videos about Knowledge Graphs.
7 summaries
Building Knowledge Graphs in 10 Steps
Building knowledge graphs in 10 steps starts with a simple premise: the graph’s value depends on nailing the business goal and the expert questions...
KGC23 Keynote: The Future of Knowledge Graphs in a World of LLMs — Denny Vrandečić, Wikimedia
Large language models can answer questions, but knowledge graphs deliver the same kind of factual reliability far more cheaply—especially when...
KGC 2023 Masterclass: Taxonomy-Driven Ontology Design — Heather Hedden, PoolParty
Taxonomy-driven ontology design hinges on a practical idea: start with controlled, hierarchical (or faceted) taxonomies for consistent tagging and...
Compounding Knowledge Graphs with LLMs
The core idea is that “compounding” in knowledge work isn’t a software feature—it’s a user habit: searching and reusing prior notes at the right...
Masterclass: Knowledge Graphs & Massive Language Models — The Future of AI, RelationalAI | KGC 2023
Conversational AI is being treated as a new “computer for humans,” but the practical breakthrough isn’t that it behaves like people—it’s that it can...
What Your Vault Knows — Talks & Discussion
A three-part discussion on extracting more value from Obsidian vaults centered on a practical question: how can computational methods turn existing...
Webinar: GraphQL Federation and Knowledge Graphs
GraphQL Federation is positioned as a practical way to turn a set of separate knowledge-graph services into one unified, queryable graph—without...