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export
Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Semantica 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 Semantica knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.
Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale.
Detect duplicate entities, duplicate groups, and relationship duplicates in Semantica using fuzzy matching, schema heuristics, and graph similarity.
Ingest data from files, databases, APIs, or streams into Semantica knowledge graphs with schema mapping and entity linking.
Track and inspect graph changes, diffs, temporal updates, and the impact of new data on Semantica knowledge graphs.
| name | export |
| description | Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats. |
Export knowledge graph data. Usage: /semantica:export <format> [args]
$ARGUMENTS = format + optional target or destination.
json [--output <path>] [--filter <query>]Export graph data as JSON.
from semantica.export.methods import export_json
export_json(data=graph_data, file_path=output, format='json')
Output: JSON file or inline JSON payload.
rdf [--format turtle|rdfxml|jsonld|ntriples|n3] [--output <path>]Export the graph in RDF serialization.
from semantica.export.methods import export_rdf
export_rdf(data=graph_data, file_path=output, format='turtle')
Return: RDF text or file path.
parquet [--output <path>]Export nodes and edges to Parquet for analytics.
from semantica.export.methods import export_parquet
export_parquet(data=graph_data, file_path=output, compression='snappy')
Output: Parquet dataset ready for downstream processing.
graphml|gexf|dot [--output <path>]Export the graph to a supported graph format.
from semantica.export import GraphExporter
exporter = GraphExporter(format='graphml', include_attributes=True)
exporter.export(graph_data, output)
Output: Graph format file suitable for visualization tools.