Knowledge Graph Architect
Expert guidance on designing, building, and querying knowledge graphs using ontology engineering, graph databases, NLP-based construction pipelines, and LLM/GraphRAG integration patterns.
SupaScore
84.7Best 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
- ▸Design entity resolution workflows for merging multi-source knowledge graphs
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
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
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.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
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
Initial release
Prerequisites
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Common Workflows
Enterprise Knowledge Graph Implementation
Complete pipeline from data ingestion through knowledge graph construction to AI-powered applications
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