OWL ontologies I've authored for GraphRAG and document-intelligence systems.
Each is class-based so document-derived mentions can be instantiated directly
as members of the modeled classes. Download the .owl files below.
A lightweight ontology for representing source documents, text chunks, and generated intelligence artifacts in GraphRAG, document-intelligence, and knowledge-management systems. It distinguishes raw information sources from derived artifacts such as summaries, assertions, facts, claims, observations, insights, findings, conclusions, risks, and recommendations.
https://veerla-ramrao.ai/ontology/intelligence-artifact#
A class-based geography ontology for GraphRAG / document parsing. Specific continents, regions, and countries are modeled as OWL classes (with ISO alpha-2 / alpha-3 codes and region metadata) so document-derived mentions can be instantiated directly as members of those classes.
https://veerla-ramrao.ai/ontology/geography#