OntoBridge

OntoBridge is a web app (with optional desktop connector) that helps teams turn scattered tags, glossaries, and database fields into a governed taxonomy/ontology that actually matches how the business talks. It ingests sources like Confluence pages, SharePoint lists, CSVs, and BI semantic layers, then proposes a draft concept graph (classes, synonyms, relationships) and highlights conflicts: duplicates, circular relations, orphan terms, and inconsistent naming. The product focuses on the unglamorous work: review queues, change logs, approvals, and export to formats teams already need (SKOS/RDF/JSON-LD) plus API sync to data catalogs. It’s an AI-assisted app, but the workflow is human-in-the-loop because fully automated ontology building is unreliable. The goal is to cut taxonomy projects from months of workshops to weeks of structured review, without pretending the AI “understands” your domain perfectly.