Extraction Dimensions
How Private Language analyzes your captures across seven dimensions of knowledge.
When you make a capture, Private Language doesn't just store it — it analyzes it across seven dimensions to extract structured knowledge. This multi-dimensional approach captures the full richness of expertise, not just the surface facts.
The seven dimensions
1. Semantic
Identifies entities, materials, tools, techniques, and their relationships. This is the "what" of your knowledge.
Example: "Iron oxide at 2% concentration" → Material entity linked to concentration value.
2. Kinetic
Maps process flows, sequences, timing, and physical gestures. This is the "how" of your practice.
Example: "Cooling at 100°/hour" → Process step with rate parameter.
3. Dynamic
Tracks how your knowledge and techniques evolve over time. This is the "change" dimension.
Example: "I used to cool at 150°/hour but switched to 100°" → Evolution pattern detected.
4. Temporal
Identifies expertise maturation patterns, seasonal variations, and time-dependent knowledge.
Example: "Winter firings need 15% longer preheat" → Seasonal dependency.
5. Social
Captures knowledge transfer patterns — how you explain things differently to different audiences.
Example: "For beginners, I describe it as..." → Teaching adaptation recorded.
6. Contextual
Maps boundary conditions, dependencies, and environmental factors that affect outcomes.
Example: "This only works with high-fire stoneware" → Material constraint.
7. Epistemic
Assesses knowledge certainty, type (tacit vs explicit), and provenance (how you know this).
Example: "I think the key was..." → Hypothesis vs established fact.
Why seven dimensions?
Most knowledge systems capture only the semantic dimension — the facts. But expertise is far richer than facts. A master craftsperson's knowledge includes timing, feel, context, and years of evolved understanding. Seven-dimensional extraction preserves all of it.