Digital Lexicon Hub

An international standard defining a reference architecture and common terms for knowledge engineering in AI systems.

Structured knowledge representation ensures deterministic reasoning, interoperability, and semantic ground truth in complex decision systems, knowledge graphs, and hybrid AI architectures.

An enterprise builds an ontology-driven semantic knowledge base structured according to the ISO/IEC 5392 reference architecture to ground generative AI agents in enterprise domain knowledge.

Knowledge engineering requires labor-intensive domain modeling and maintenance; ontologies must be continuously updated to reflect evolving business domains.

The standard defines a reference architecture for knowledge engineering (KE) in AI. It describes KE roles, activities, constructional layers, and components, and their relationships with each other and with other systems from user and functional views, and provides a common KE vocabulary by defining KE terms.