gnn-ontology

name	gnn-ontology
description	GNN Active Inference ontology processing and validation. Use when working with ActInfOntologyAnnotation sections, mapping GNN variables to ontology terms, validating semantic annotations, or exploring Active Inference concept hierarchies.

GNN Ontology Processing (Step 10)

Purpose

Processes Active Inference ontology annotations in GNN models. Maps GNN variables to standardized Active Inference concepts and validates semantic consistency.

Key Commands

# Run ontology processing
python src/10_ontology.py --target-dir input/gnn_files --output-dir output --verbose

# As part of pipeline
python src/main.py --only-steps 10 --verbose

Ontology Term Mapping

GNN Annotation	Ontology Concept	Description
LikelihoodMatrix	A matrix	Observation model
TransitionMatrix	B matrix	State dynamics
HiddenState	s vector	Latent state beliefs
Observation	o vector	Sensory observations
Policy	π	Action sequences
Preference	C matrix	Preferred observations

API

from ontology import (
    process_ontology,
    parse_gnn_ontology_section,
    process_gnn_ontology,
    load_defined_ontology_terms,
    validate_annotations,
    generate_ontology_report_for_file,
    parse_annotation,
    OntologyProcessor,
    OntologyValidator,
)


parsed = parse_gnn_ontology_section(gnn_content)


terms = load_defined_ontology_terms()


result = validate_annotations(annotations_list, terms)


processor = OntologyProcessor()
result = processor.process_ontology(data)


validator = OntologyValidator()
is_valid = validator.validate_ontology(content)