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Analyze multiple documents to extract entities and relationships, generating a knowledge graph structure (RDF/Turtle).
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
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.