メニュー
Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).
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
Normalize named entities and concept variants into canonical forms using controlled vocabularies or standard taxonomies.
Analyze vocabulary overlap and identify named entities unique to domain/document corpora.
Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).
Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.
Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.
Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.
| name | knowledge-graph-generate |
| description | Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle). |
| required_roles | {"scribe":"roles/scribe.editor"} |
| personas | ["information-architect","data-scientist","knowledge-manager"] |
Analyze a set of documents to identify named entities and their inter-relationships, constructing a knowledge graph to visualize and query the information structure.
SOURCE_PATH - Directory or file list to analyze.OUTPUT_FORMAT - (Optional) "turtle", "rdf/xml", "json-ld" (default: "turtle").DEPTH - (Optional) Recursion depth for directory traversal (default: 1).SOURCE_PATH.OUTPUT_FORMAT (e.g., Turtle syntax).A serialized graph file or block representing the extracted knowledge.