knowledge-graph-generate

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"]

Knowledge Graph Generator Skill

Analyze a set of documents to identify named entities and their inter-relationships, constructing a knowledge graph to visualize and query the information structure.

Inputs

• 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).

Workflow

1. Ingest: Read documents from SOURCE_PATH.
2. Extract: Perform Named Entity Recognition (NER) to find People, Organizations, Locations, Concepts.
3. Relate: Identify relationship verbs connecting entities (e.g., "authored by", "located in").
4. Serialize: Generate the graph in the requested OUTPUT_FORMAT (e.g., Turtle syntax).

Output

A serialized graph file or block representing the extracted knowledge.