Knowledge & Data · Data artifact

Graph Schema

Data artifactKnowledge & DataKnowledge & Dataarc:GraphSchema

A data artifact enumerating the node labels, relationship types, and properties available in a knowledge graph.

Responsibility. Declares the node labels, relationship types, and properties that queries and extractors may use.

Also known as: Graph Ontology, Schema Metadata

Direct neighbourhood (hover for relationship types)

Relationships

configures structural

constrains control

Knowledge Graph Loader Ch1.7A

is produced by lifecycle

Graph Schema Introspector Ch1.7A

Design guidance

SHOULD map extractor entity types to typed graph labels (Person, Organization, Location) rather than a generic Entity label, to enable schema-level type filtering.
SHOULD add labels and properties additively and deprecate rather than delete them; version relationship types (e.g., EMPLOYED_V2) when semantics change.

Classification

Patterns: Schema-grounded query generation
Technologies: Neo4j
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)Maintainability (ISO/IEC 25010)
Risks mitigated: Invalid generated graph queries

Sources

Ch1.7A: T. Nguyen, "Relational Reasoning with Knowledge Graphs - The Fundamentals, Integration, and Extraction," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.7A. ISBN: 9798244538229.
Ch1.7B: T. Nguyen, "Relational Reasoning with Knowledge Graphs - Hybrid RAG+KG Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.7B. ISBN: 9798244538229.