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Demystifying ontologies: What ontologies really do in knowledge graphs | LinkedIn

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If you talk to people working with data, AI, or enterprise architecture and ask, “What is an ontology?”, you’re likely to get very different answers. For some, ontology is a kind of clever data schema. For others, it’s a business glossary. For others still, it’s the heart of a knowledge graph. They are all right - and that’s exactly the problem. The mystery and ambiguity around ontologies and knowledge graphs is not because the ideas are inherently obscure. It’s because we use the same word for tools that serve very different purposes. Before diving deeper, let’s clarify one more word that often causes trouble: semantics. In simple terms, semantics is the meaning behind the words we use. If the data says “account,” semantics helps us understand whether that means a bank account, a customer relationship, or a system user. Semantics is the foundation of shared understanding for both humans and machines. With that out of the way, we can explore why ontologies feel so ambiguous and what th

If you talk to people working with data, AI, or enterprise architecture and ask, “What is an ontology?” , you’re likely to get very different answers. For some, ontology is a kind of clever data schema. For others, it’s a business glossary. For others still, it’s the heart of a knowledge graph. They are all right - and that’s exactly the problem. The mystery and ambiguity around ontologies and knowledge graphs is not because the ideas are inherently obscure. It’s because we use the same word for tools that serve very different purposes . Before diving deeper, let’s clarify one more word that o

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