Definition
An ontology is a formal, explicit specification of the concepts in a domain and the relationships that can hold between them. Where a knowledge graph stores concrete facts about specific entities, an ontology defines the schema behind those facts: the classes of thing that exist (Miner, Hashboard, ASIC, Firmware), the properties they can have, and the constraints and rules that govern valid statements. In short, the ontology is the blueprint; the knowledge graph is the building.
Classes, properties, and reasoning
A well-formed ontology declares a hierarchy of classes (an Antminer is a kind of ASIC miner), the allowable relationships between them, and logical axioms — for example, that every hashboard must belong to exactly one miner. Because these rules are machine-readable (commonly expressed in RDFS or OWL on the Semantic Web), software can perform automated reasoning: inferring new facts, detecting contradictions, and merging data published by different organisations without ambiguity.
Why sovereign reference work uses one
Building a consistent, citable reference for mining hardware depends on a shared vocabulary. An ontology fixes the meaning of terms so that “chip”, “domain”, and “board” always refer to the same concept across thousands of pages, which keeps structured data clean and machine-verifiable.
Ontologies provide the semantic backbone for knowledge graphs and feed downstream systems such as semantic search. They are conceptually distinct from the data-modelling done inside a transformer model, which learns statistical patterns rather than declared rules.
In Simple Terms
An ontology is a formal, explicit specification of the concepts in a domain and the relationships that can hold between them. Where a knowledge graph…