Building More Expressive Next-Gen Knowledge Resources

Title Mike Dillinger | Founder and Chief Scientist, Hypergraf 🔗 connect with speaker on LinkedIn   / mikedillinger   Description The need for structured knowledge -- in the form of taxonomies, ontologies, and knowledge graphs -- has never been more urgent. It is crucial for evolving gen AI to next-gen AI. But one of the blockers for deeper investment and broader deployment is the diversity of concepts and options that we have developed. This talk describes how we alleviate this problem by showing that each kind of structured knowledge makes a unique contribution to the expressivity of next-gen knowledge representations. In our view, the usual options are neither complete in themselves nor mutually exclusive but form a cumulative scale of increasing expressivity. We draw on examples from LinkedIn to show how greater expressivity leads to more applications. hashtags #knowledgegraph #kgc #kgc2025 #hypergraf #ontology #taxonomy 🔗 Stay Connected with KGC 🌐 Website https://www.knowledgegraph.tech 📩 Newsletter https://info.knowledgegraph.tech/kgc-... 💼 LinkedIn   / the-knowldge-graph-conference   💬 Slack Community https://join.slack.com/t/knowledgegra... 🐦 Twitter   / kgconference   📺 Watch all KGC content on Vimeo https://watch.knowledgegraph.tech/