RDF Triple Store

Knowledge Graph

Visualizing the connections between content, concepts, and ideas. Semantic relationships as navigable structure.

πŸ•ΈοΈ Entity Relationship Graph

Framework
Product
Post
Wisdom
Research
Concept
Person
Tradition
πŸ“„

Select an entity

Click any node in the graph

Click on any node in the graph above to see its relationships and properties.

πŸ“‹ RDF Triples (Sample)

Subject Predicate Object

About the Knowledge Graph

This is an initial visualization of the Kai Hamil content ecosystem using RDF triples. Each node represents an entity (post, framework, concept, person), and edges represent semantic relationships.

Entity Types

  • Frameworks (thinking tools - System)
  • Products (quizzes, toolkits - System)
  • Posts (essays, articles)
  • Wisdom (explorations - Self)
  • Traditions (philosophy sources - Self)
  • Research (investigations)
  • Concepts (ideas, patterns)
  • People (authors, researchers)

Relationship Types

  • evolvesTo (version progression)
  • implements (puts into practice)
  • deepDiveOf (extends/elaborates)
  • drawsFrom (wisdom source)
  • entryPointFor (gateway to)
  • relatedTo (semantic connection)
  • references (cites/mentions)

Use Cases

  • Content discovery
  • Related content surfacing
  • Gaps identification
  • RAG constraint
  • Agent memory structure