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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.

Gold
v1.0.00 activationsAI & Machine LearningTechnologyexpert

SupaScore

84.7
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.6
Practical Utility (15%)
8.4
Completeness (10%)
8.5
User Satisfaction (20%)
8.3
Decision Usefulness (15%)
8.5

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
  • 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
Expects

Clear description of the knowledge domain, target entities/relationships, query patterns, and integration requirements (search, LLM, analytics).

Returns

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.

knowledge-graphontologyrdfsparqlneo4jgraph-databaseentity-resolutiongraphragsemantic-webowlnlplinked-data

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

v1.0.02/16/2026

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

Data Pipeline Architectknowledge-graph-architectrag-architecture-designerAPI Design Architect

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