S06: Streaming Ontology and Feature Discovery
Feature Set B —
features/analytics/streaming_ontology.feature
Intent
A data scientist performing click stream analysis intends to inform persona-oriented strategy decisions. High-velocity wide-schema records yield ontology-grounded feature patterns. The analyst observes and directs feature growth via agent-mediated sketch-based algorithms, reviews proposed software changes, and validates persona-grounded visit behavior views.
Scenarios
Ingest wide-schema stream records
Tier 3 @engine-required @viz-required
A high-volume click stream source is configured. As records begin arriving, the agent identifies ontology-grounded feature patterns and pattern counts accumulate over the stream.
Human-in-the-loop feature direction
Tier 3 @engine-required @viz-required
As feature patterns are being discovered, the analyst observes and directs pattern growth via the agent. The agent adjusts sketch-based algorithms accordingly and the feature set reflects the analyst’s guidance.
Agent proposes software changes
Tier 3 @engine-required @viz-required
Once directed feature patterns have stabilized, the agent identifies implementation requirements and proposes source changes via the SDLC integration. The analyst can review the proposed changes before acceptance.
Validate persona-grounded visit behaviors
Tier 3 @engine-required @viz-required
After processing a stream accumulation, the analyst requests a persona-grounded behavior view. The sketch algorithm produces actionable visit behavior views differentiated by persona segment.
Draft Scenario Mapping
From the draft overview (Scenario 06):
- Data Scientist performing click stream analysis → All scenarios
- High volume/velocity wide-schema records yield ontology-grounded feature patterns → Ingest wide-schema stream records
- Observe and direct feature pattern growth via agent-mediated sketch-based algorithms → Human-in-the-loop feature direction
- Review proposed software changes (agent-driven SDLC) → Agent proposes software changes
- Confirm sketch algo provides actionable views of persona-grounded visit behaviors → Validate persona-grounded visit behaviors