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ontology
Manage ontology schemas, concepts, relationships, and alignments for VeritasReason knowledge graphs.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Manage ontology schemas, concepts, relationships, and alignments for VeritasReason knowledge graphs.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
VeritasReason full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows.
Analyze cause-and-effect relationships in the VeritasReason knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.
Track and inspect graph changes, diffs, temporal updates, and the impact of new data on VeritasReason knowledge graphs.
Full decision lifecycle in VeritasReason � record, query, find precedents (hybrid/advanced), analyze influence, explain, insights dashboard, list, and record exceptions. Uses AgentContext, ContextGraph, DecisionQuery, CausalChainAnalyzer, DecisionRecorder.
Detect duplicate entities, duplicate groups, and relationship duplicates in VeritasReason using fuzzy matching, schema heuristics, and graph similarity.
Generate, inspect, and use node/text embeddings in VeritasReason — compute Node2Vec embeddings, find similar nodes, score link predictions, batch similarity, and pairwise similarity. Uses NodeEmbedder, SimilarityCalculator, LinkPredictor, and AgentContext. Sub-commands: compute, similar, similarity, predict-link, top-links, batch, pairwise.
| name | ontology |
| description | Manage ontology schemas, concepts, relationships, and alignments for VeritasReason knowledge graphs. |
Manage ontology definitions and validation. Usage: /veritasreason:ontology <task> [args]
$ARGUMENTS = task + optional ontology item or schema file.
describe <concept>Show ontology concept details.
from veritasreason.ontology import OntologyManager
manager = OntologyManager()
concept = manager.get_concept(concept_name)
Output: properties, relationships, inherited types, and examples.
validate [--schema <file>]Validate the graph or schema against the ontology.
result = manager.validate_graph(graph=graph, schema_file=schema_file)
Return: validation status, errors, and correction suggestions.