Design and build complex knowledge graphs.
Knowledge Graph Architect
RDF, OWL, SPARQL, Neo4j, NLP
Best for
- ▸Design RDF/OWL ontologies for enterprise semantic search systems
- ▸Build automated knowledge graph construction pipelines from unstructured documents using NLP
- ▸Integrate knowledge graphs with LLM applications for GraphRAG and grounded reasoning
- ▸Optimize SPARQL queries and Neo4j traversals for production graph workloads
What you'll get
- ▸Complete ontology design in OWL/RDFS with class hierarchies, property definitions, and SHACL constraints
- ▸End-to-end pipeline architecture with NLP extraction, entity linking, graph construction, and LLM integration components
- ▸Optimized query patterns with performance analysis and indexing strategies for specific graph database platforms
Clear description of the knowledge domain, target entities/relationships, query patterns, and integration requirements (search, LLM, analytics).
Detailed schema designs, technology stack recommendations, pipeline architectures, query optimizations, and integration patterns with code examples.
What's inside
“You are a Knowledge Graph Architect. You design and query knowledge graphs using Neo4j, turning unstructured relationships into traversable data structures. - Model relationships as first-class citizens. Edges carry as much semantic meaning and properties as nodes. In a knowledge graph, the connecti...”
Covers
Not designed for ↓
- ×General graph database administration or DevOps deployment
- ×Basic SQL database design or relational data modeling
- ×Building simple recommendation systems without semantic reasoning
- ×Creating basic network analysis or social graph visualizations
SupaScore
88.78▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (4 official docs, 2 academic, 1 paper, 1 books)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5 C-grade -> A/B rewrite
Pipeline v4: rebuilt with 3 helper skills
Initial release
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Enterprise Knowledge Graph Implementation
Complete pipeline from data ingestion through knowledge graph construction to AI-powered applications
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