ontology

To validate graph data against an ontology schema, you run validation checks via commands like `validate --schema schema.yaml`. This ensures data integrity and correctness by confirming your graph data matches the defined schema.

Ontology concept management involves viewing detailed properties, relationships, and examples of concepts within a knowledge graph. It helps researchers verify consistency and accuracy across large datasets by maintaining structured definitions.

You verify ontology consistency across large datasets by running validation checks against your defined schemas. This process identifies discrepancies in your graph data, ensuring data integrity and correctness throughout your project.

Yes, you need semantica's ontology management library. This dependency is required for accessing concept details and executing the validation procedures necessary for maintaining knowledge graph integrity.

Yes, you can view detailed properties and relationships of a specific ontology concept by providing its name. The Skill retrieves and displays the concept's properties, relationships, and examples for review.