
Integration Isn’t Optional: Why AI-Ready Data Needs URIs and Ontologies
The Semantic Web isn’t the problem—distributed data integration is. For AI agents to act and reason effectively, organisations need clear semantics, stable URIs, and shared ontologies baked into their data products.
From Tables to Meaning: Building True Data Products with Ontologies
‘Semantics’ is often misused, yet it defines the very essence of meaning. Large Language Models hold a latent, globalised semantics — but not yours. True differentiation lies in owning your meaning through Knowledge Graphs and ontologies that reflect your reality, not the world’s average.
Semantics Is Meaning: The Hidden Structure That Makes You Unique
‘Semantics’ is often misused, yet it defines the very essence of meaning. Large Language Models hold a latent, globalised semantics — but not yours. True differentiation lies in owning your meaning through Knowledge Graphs and ontologies that reflect your reality, not the world’s average.
