A knowledge-graph is a structured representation of information where real-world entities are encoded as nodes and the relationships between them as labeled edges, forming a graph data structure that supports semantic querying and inference. Its parameters are: (1) entities typed by class or category, (2) relationships typed by predicate or role, (3) properties attached to nodes and edges as key-value pairs. It persists through (a) graph-database storage engines (property-graph or RDF stores), (b) query languages (Cypher, SPARQL) that traverse and aggregate relationships, and (c) visualization tools that render the structure as interconnected nodes. Distinct from a flat database by its emphasis on relationship-first topology — the edges carry meaning, not just connectivity. [formal: cognitio-graphica | substrate: mind | horizon: generations | explicit: yes | epoch: 0.01]
Accepted ontology entry
knowledge-graph
A knowledge-graph is a structured representation of information where real-world entities are encoded as nodes and the relationships between them as labeled edges, forming a graph data structure that supports semantic querying and inferenc…
Definition
Why it is in scope
A human-made representational structure in which entities (concepts, objects, facts) are modeled as nodes connected by labeled relationships (edges). It is a formal schema for organizing and navigating information, implemented through software systems that store, query, and visualize interconnected data. Built to persist through structured storage formats, query languages, and network effects in knowledge-management systems.
Names and aliases
- knowledge-graphen · CANONICAL
Relations from this entry
- cmrwtg97a01absoac34g3i9jmINSTANCE_OF →
A knowledge-graph IS a specific kind of graph — a structured representation where nodes are concepts/entities and edges are semantic relationships between them. A competent speaker says a knowledge-graph is a type of graph.
- cmryjiupq0158ekkxxvcbom28SERVES →
A knowledge-graph is built and maintained for the sake of explicit-knowledge — its designed purpose is to store, organize, and make queryable knowledge that has been articulated and codified. The servant→master direction follows Law 8d.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Jul 24, 2026, 4:43 AM UTC
- Content hash
- 4eb3b0622f6f7a8f3edf7a3f32a6729d0b01426969b5f50ad83467bf4e5de723