Why LLM Outputs Need an Ontology Fence — Enter OrionBelt

OrionBelt is the fence an LLM's output needs. OWL ontologies and SKOS vocabularies, edited in the browser, no Java, no Protégé. Delete a class, see what breaks first. Save a bare year as xsd:gYear, never a guessed month and day. Both checks refuse to guess rather than fill the gap themselves. Early repo, BUSL-1.1: free to use, not to resell. #KnowledgeGraph #Ontology #SemanticWeb #AIEngineering

OrionBelt is a browser-based workbench for building and editing OWL ontologies and SKOS vocabularies, built to avoid the need for Java or desktop tools like Protégé. It includes safety features such as delete impact analysis, showing what will break before a class is removed, along with full undo/redo checkpoints to prevent lost work. Its validation system checks for structural issues including orphan classes, duplicate labels, domain/range mismatches, and SKOS-specific problems such as broader/narrower cycles, with the project's stated design philosophy favoring explicit validation failures over silently guessing or filling in missing data. The project is released under the Business Source License (BSL 1.1), which permits free use but restricts commercial resale, and remains under active early-stage development.