#OWL

Articles about OWL — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with owl. ← All posts

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Pratik Dhanave · ·6 min read

RDF and OWL — How Meaning Gets Written Down

Post 1 said an ontology is meaning a machine can compute with. This post is about the notation that makes that real: RDF, the dead-simple data model that represents any fact as a three-part statement, and OWL, the language that adds the logical rules a reasoner can act on. These are the W3C standards underneath most of the semantic-web and knowledge-graph world, and their core ideas are far simpler and more elegant than the acronyms suggest.

RDF represents all knowledge as triples (subject–predicate–object), so a set of triples is automatically a graph. OWL adds logic — inverse/transitive properties, cardinality, class expressions — grounded in description logic, so a reasoner can derive unstated facts and catch contradictions. The standards under the knowledge-graph world.

#Ontology#RDF#OWL#Semantic Web#Knowledge Graphs

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.