تشغيل أي مهارة في Manus بنقرة واحدة

ابدأ الآن

knowledge-graph-generate

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

تشغيل في Manus

نظرة عامة

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

أمر التثبيت

npx skills add https://github.com/dandye/information-architecture --skill knowledge-graph-generate

انسخ والصق هذا الأمر في Claude Code لتثبيت المهارة

المصدر

dandye/information-architecture

النجوم١

التفرعات٠

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مستكشف الملفات

2 ملفات

SKILL.md

readonly

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

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

Output

A serialized graph file or block representing the extracted knowledge.

المزيد من هذا المستودع

نفس المستودع

named-entity-normalization

dandye/information-architecture

Normalize named entities and concept variants into canonical forms using controlled vocabularies or standard taxonomies.

2026-05-231

vocabulary-overlap-analysis

dandye/information-architecture

Analyze vocabulary overlap and identify named entities unique to domain/document corpora.

2026-05-231

document-tree-generate

dandye/information-architecture

Transform lengthy documents into a semantic tree structure. It extracts sections, summaries, and hierarchies optimized for use with Large Language Models (LLMs).

2026-04-091

ontology-define

dandye/information-architecture

Design formal ontologies using OWL/RDFS. Defines classes, properties, and relationships for complex semantic modeling.

2026-02-061

content-inventory

dandye/information-architecture

Systematic cataloging of information assets. Creates comprehensive inventories or card sorting materials from content.

2026-02-061

json-ld-generate

dandye/information-architecture

Generate JSON-LD structured data for web content. Maps content to Schema.org types to improve search engine understanding and rich result eligibility.

2026-02-061

المصدر

dandye

dandye/information-architecture

فتح مستودع GitHub عرض مستودعات المنشئ

أمر التثبيت

تنزيل

تشغيل في Manus

مفيد لـSOC

مطوّرو البرمجياتمهن الحاسوب والرياضيات15-1252L4

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

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

Output

A serialized graph file or block representing the extracted knowledge.