ISO/IEC 5394 — Information technology — Artificial intelligence — Knowledge engineering
An international standard establishing concepts, terms, and reference architectures for knowledge engineering and representation 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 adhering to ISO/IEC 5394 principles 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 concepts, models, and processes for knowledge acquisition, formal representation, ontology structuring, and knowledge verification within AI systems. It covers semantic models, reasoning mechanisms, and integration patterns between symbolic knowledge systems and machine learning components.
Data Engineering, Systems Architecture
ISO — ISO/IEC 5394 — https://www.iso.org/standard/81232.html