3 key dates for KGC 2027!
1/ Oct 31: Super Early Bird codes expire.
2/ Nov 2: Call for Presentations opens! Rolling acceptances, so submit early.
3/ Dec 1: Early Bird ticket prices go up.
📍 May 3–7 | Midtown Manhattan, NYC
Join us in New York: https://t.co/p6KFlZ6KKz
25 years after the landmark Semantic Web paper, Sir Tim Berners-Lee reminds us: AI needs open standards and connected knowledge.
At KGC 2026, we honored the pioneers who made it possible.
🎥 https://t.co/2gjDVAt2I5
The work continues at #KGC2027.
🔗 https://t.co/h95qJxS3HT
Big news drop! Our first anchor speaker for KGC 2027 is Vishakha Gupta, Founder and CEO of ApertureData.
Embeddings are good at finding what's similar. Knowledge graphs remember how things connect.
That difference is at the heart of her talk: ⬇️
Want to hear first when registration opens?
Join the waitlist: https://t.co/CqnD3rFVuq.
Super Early Bird pricing has closed, but everyone on the waitlist will still get Early Bird access.
🌞 How was everyone's summer? We've been quiet, but that doesn't mean we stopped planning for KGC 2027.
Big annoucement! The Knowledge Graph Conference (KGC) is moving to Manhattan for 2027.
Next May, we'll be at Jay Conference Bryant Park, right in Midtown.
Bryant Park gives us the space to grow into the community that keeps showing up for KGC year after year.
• Save the date: May 3–7, 2027
• Agenda and registration details to follow in the coming weeks!
KGC Learn is our peer-learning program: real projects, real feedback, actually building with knowledge graphs instead of just reading about them.
Tomorrow, 3 teams from this year's cohort demo what they're building:
1/ Chris Lastovicka, faculty expertise as a knowledge graph
This coming Tuesday’s KGC Learn Demo Day just picked up another session!
François Serra and Clara Letscher, both at ADEO, are working together on a project exploring how to build a federated knowledge graph for a retail organization.
New session just added to July's KGC Learn Demo Day!
Satya Pavan Kumar Sighakolli, an AI/ML engineer working in ontology and knowledge graph systems, is building a skill graph that's meant to outlast the resume.