Welcome back to another fortnightly news roundup from around the knowledge graph industry for the week ending on August 22nd, 2025. Articles, Editorial, & Hot Takes Game changer? A first look at the Hydra project by Amber Lennox [gdotv blog] How AI-Powered Relational Knowledge Graph Can Help by Jay Yu [Supply & Demand Chain Executive] …
Welcome back to another weekly news roundup from around the knowledge graph industry for the week ending on April 25th, 2025. KG Community Discussions A new graphy agentic thought strategy: Knowledge Graph of Thoughts (KGoT) by Russell Jurney [LinkedIn] Articles, Editorial, & Hot Takes RAG isn’t dead. It’s just getting started by Dominik Tomicevic [Memgraph…
Welcome back to another weekly news roundup from around the knowledge graph industry for the week ending on April 11th, 2025. Articles, Editorial, & Hot Takes The Dat(a)ing Game by Dean Allemang [Medium] Future of Data Analysis & Graph Visualization with Paco Nathan & Matthieu Besozzi [Senzing blog] Knowledge Graph Events Featured Event: Hackathon: KnowHax…
Welcome back to another weekly news roundup from around the knowledge graph industry for the week ending on February 28th, 2025. KG Community & Discussions GraphGeeks in Discussion with William Lyon: From Neo4j to Dgraph by Amy Hodler [GraphGeeks] Call for Papers, Presentations & More Call for Workshop Proposals – CausalNeSy | Portoroz, Slovenia |…
For a full day on December 14, 2020, LinkedIn sponsored a virtual workshop called Metadata Day, followed by a public online meetup called Metaspeak. View videos of the event on their website including a set of lightning talks provided by several of the speakers. The gist is that circa 2018, the pending regulatory compliance for…
It’s an interesting time to be working with knowledge graphs. A time of stark contrasts in realizations. On the one hand, I talk with many people who would otherwise be quite expert about machine learning use cases who say, “Yeah, well, no one really uses knowledge graphs in production.” On the other hand, there are…
Tell us about yourself! I’m Paco Nathan from Derwen. Links to relevant projects, books, videos, articles, etc. can be found here. During the early 1980s, I got started in machine learning and dove into neural networks. After the “AI Winter” I also worked in telecom and network engineering, up until the 2000s when I started…
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