gnn-ontology

To map GNN variables to an Active Inference ontology, this Skill parses ActInfOntologyAnnotation sections and aligns them with standardized Active Inference concepts, producing per-file ontology reports for semantic consistency.

Active Inference ontology annotation validation checks ActInfOntologyAnnotation sections within GNN models against loaded ActInf ontology terms. It ensures semantic alignment and generates per-file reports to verify consistency across multiple models.

You can validate ActInfOntologyAnnotation sections across multiple models by loading ActInf ontology terms and parsing the annotations. The processor verifies semantic consistency and produces aggregated per-file ontology reports for pipeline step 10.

Yes, you can generate per-file ontology reports from GNN model annotations by running the ontology processor. It parses ActInfOntologyAnnotation sections, maps variables to Active Inference terms, and aggregates the results for pipeline integration.

Yes, loading ActInf ontology terms is required before mapping GNN variables. The Skill uses these standardized terms to parse ActInfOntologyAnnotation sections and validate semantic alignment across your GNN models.

GNN ontology validation fails when ActInfOntologyAnnotation sections contain variables that do not semantically align with the loaded Active Inference ontology terms. The processor detects these inconsistencies and highlights them in per-file reports.