STORY · FORSKNING_
Ontologies make a comeback: AI agents reclaim the semantic web
AI engineers are rediscovering ontologies as a way to keep probabilistic AI agents within deterministic boundaries. Experts like Frank Coyle from UC Berkeley and Emil Eifrem from Neo4j argue that structured knowledge representation through ontologies makes AI agents more reliable and controllable by functioning as "logical guardrails" around language models.
WHY IT MATTERS
Ontologies solve a core problem with today's LLM-based agents: they provide controllability and quality assurance. By combining the strength of language models with symbolic AI, you get both expressiveness and determinism – a solution that could be critical for building reliable agents in production.
SOURCES
MACHINE-GENERATED SUMMARY This summary is written by machine from the sources below. We sort and explain — but we are a way into the field, not the final word. Check the source when something matters to you.