At Netflix, Alexandre Bertails and his team have adopted the RDF standard to capture the meaning in their content in a consistent way and generate consistent representations of it for a variety of internal customers.

The keys to their system are a Unified Data Architecture (UDA) and a domain modeling language, Upper, that let them quickly and efficiently share complex data projections in the formats that their internal engineering customers need.

https://knowledgegraphinsights.com/alex-bertails/

Torrey Podmajersky is uniquely well-prepared to help digital teams align on language and meaning.

Her father's interest in philosophy led her to an early intellectual journey into semantics, and her work as a UX writer at companies like Google and Microsoft has attuned her to the need to discover and convey precise meaning in complex digital experiences.

This helps her span the "semantic gaps" that emerge when diverse groups of stakeholders use different language to describe similar things.

https://knowledgegraphinsights.com/torrey/

Ontology engineering has its roots in the idea of ontology as defined by classical philosophers.

Casey Hart sees many other connections between professional ontology practice and the academic discipline of philosophy and shows how concepts like epistemology, metaphysics, and rhetoric are relevant to both knowledge graphs and AI technology in general.

https://knowledgegraphinsights.com/casey-hart/