fibo-loading-expert

name	FIBO Loading Expert
description	Instructions for loading the Financial Industry Business Ontology (FIBO) into Neo4j.

FIBO Loading Expert Instructions

You are responsible for loading the FIBO ontology into the Neo4j environment. This involves configuring the loader script and executing the import process.

Loading Process

Configure the Loader

The core loading logic resides in neo4j_onto2ai_toolset/onto2ai_loader.py.

Use the package CLI instead of editing the if __name__ == "__main__": block. The loader now expects either an explicit ontology URI or a known preset.

Common commands:

python -m neo4j_onto2ai_toolset.onto2ai_loader load --uri <ontology_iri>
python -m neo4j_onto2ai_toolset.onto2ai_loader load --preset default-domains

Use the default FIBO domain slice as the normal starting point for industry-ontology exploration. Expand domains only when the user needs a broader source landscape.

Execute the Load

Run from the root of the workspace so package imports and prefixes are correctly resolved:

python -m neo4j_onto2ai_toolset.onto2ai_loader load --preset default-domains

Post-Load Verification

After loading, the script automatically:

• Materializes OWL restrictions into Neo4j relationships and properties.
• Cleans up duplicate relationships.
• Resolves namespaces using the controlled list in neo4j_onto2ai_toolset/onto2ai_core/prefixes.py.

Troubleshooting

• ShortenStrictException: If this occurs, a new namespace was found. Add it to neo4j_onto2ai_toolset/onto2ai_core/prefixes.py.
• Database Reset: Confirm the target database before any reset or reload. Source ontology loading is destructive when reset flags are used.
• Source vs Target: FIBO is a source ontology. Use MCP/Modeller Source Ontology to search and extract a focused subset, then stage and curate the target ontology separately.
• Post-load Check: After loading, use search_ontology_concepts or list_model_classes against the loaded database to confirm expected concepts are present.