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export
Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.