Researchers and developers are revisiting ontologies, a concept that dates back to Aristotle, to create logical boundaries for probabilistic agents in AI systems, effectively keeping them "on guardrails." This is particularly useful for agentic systems that require deterministic behavior, such as those enabled by Neo4j's graph database systems. Established ontologies like Schema.org and OWL can be leveraged to augment existing large language models (LLMs) and provide a structured framework for probabilistic reasoning. AI summary
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