Domain Ontology

Data artifactKnowledge & DataKnowledge & Dataarc:DomainOntology

A hierarchical concept taxonomy with inherited properties and logical integrity constraints that gives rule, utility, and learning components shared concepts at different abstraction levels.

Responsibility. Defines shared concept hierarchies, properties, and integrity constraints across paradigms.

Also known as: Ontology, Concept taxonomy, Shared semantic framework

Direct neighbourhood (hover for relationship types)

Relationships

configures structural

constrains control

Design guidance

SHOULD reuse public ontologies as a foundation, then extend with domain-specific concepts.

Quantitative guidance

As stated by the sources; verify before use.

Public knowledge bases cut custom knowledge engineering by 50-70% (Ch5.13).
Example medical ontology scale: 10,000 diseases, 50,000 symptoms, 100,000 relationships, 5,000 clinical rules (Ch5.13).

Classification

Patterns: Subsumption hierarchy with property inheritanceIntegrity constraints
Technologies: SNOMED CTOpenCyc
Quality attributes: Compatibility (ISO/IEC 25010)Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)
Risks mitigated: Incompatible concepts across paradigm componentsRedundant knowledge specification

Sources

Ch5.13: T. Nguyen, "Hybrid Decision Systems Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.13. ISBN: 9798244538229.