RDF
RDF, the Resource Description Framework, is the W3C-standardized data model for representing information on the web as a graph of triples — subject-predicate-object — that has been the substrate of the Semantic Web for two decades and is now foundational to
knowledge graphs, linked data, and structured AI grounding. The model is simple: every fact is expressed as three things — an entity (the subject, identified by a URI), a property (the predicate, also a URI), and a value (the object, either another URI or a literal value). Example:
. Triples form a graph where any URI can be both a subject in some triples and an object in others. Serializations include RDF/XML (the original verbose format), Turtle (the human-readable standard), JSON-LD (JSON-compatible, widely adopted for web markup including Schema.org), N-Triples (line-oriented for streaming), and TriG (named graphs). RDF is queried with SPARQL, the standardized graph query language. Major RDF triplestores include Apache Jena Fuseki, Eclipse RDF4J, Blazegraph, Virtuoso, AnzoGraph, Stardog, GraphDB by Ontotext, and Amazon Neptune (which supports both RDF and property graphs). For AI specifically, RDF provides the formal substrate for GraphRAG systems where citation precision matters, for cross-organization data integration via linked open data (DBpedia, Wikidata), and for compliance applications where the schema must be machine-checkable. Public RDF deployments include the entirety of Wikidata (115M+ entities), the BBC's content metadata, the EU's data portal, the SEC's EDGAR financial filings (XBRL maps to RDF), and many genomic and biomedical datasets. AI governance teams use RDF for canonical entity representation — each entity has exactly one URI across the organization, eliminating the entity-resolution problem that bedevils vector-based approaches.
Triples as the formal version of 25-year-old metadata: Centralpoint has emitted structured metadata — title, audience, taxonomy, sensitivity, lineage — for client content for 25 years. RDF triples are the formal canonical expression of that same metadata discipline, ready for cross-system interoperability. Triples stay on-premise, tokens meter per skill, and triple-grounded chatbots deploy through one line of JavaScript.
Related Keywords:
RDF,RDF,Oxcyon, AI, AI Governance, Generative AI, Inference, Inference, Inferencing, RAG, Prompts, Skills Manager,