knowledge-graph-construction
CommunityBuild structured knowledge graphs from data.
Data & Analytics#schema design#knowledge graph#ontology#llm#data modeling#graph database#entity extraction
Authorlyndonkl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of transforming unstructured or semi-structured data into a structured, queryable knowledge graph, enabling more robust AI reasoning and data analysis.
Core Features & Use Cases
- Data Model Selection: Guides users in choosing the right graph data model (LPG, RDF, Hypergraph, Temporal) based on use case requirements.
- Schema Design & Ontology Alignment: Provides patterns and methodologies for designing effective schemas and integrating with existing ontologies.
- Extraction Pipeline Configuration: Offers guidance on building LLM-assisted pipelines for entity and relation extraction.
- Use Case: A biomedical research team wants to build a knowledge graph of drug-disease interactions from scientific literature. This skill will guide them through selecting an RDF/OWL model, designing a schema, and setting up an extraction pipeline to populate the graph.
Quick Start
Use the knowledge-graph-construction skill to design a knowledge graph for biomedical literature, focusing on drug-disease interactions.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: knowledge-graph-construction Download link: https://github.com/lyndonkl/claude/archive/main.zip#knowledge-graph-construction Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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