Knowledge representation is the field of artificial intelligence focused on structuring information so both humans and systems can understand what things mean, how they relate, and how they can be reasoned over. In data environments, this means defining business entities, relationships, hierarchies, and rules explicitly rather than leaving meaning scattered across table names, joins, and application logic.
In SQL ecosystems, knowledge representation is enabled through an SQL ontology – an ontology-defined semantic model that captures business meaning and exposes it through standard SQL, making data consistently interpretable across tools, teams, and AI systems.
