Taxonomy Distribution Report

Overview

• Total Concepts: 496
• Number of Taxonomies: 12
• Average Concepts per Taxonomy: 41.3

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
DTRC	DTRC	66	13.3%	✅
COMP	COMP	55	11.1%	✅
BUILD	BUILD	50	10.1%	✅
DATA	DATA	47	9.5%	✅
GRAPH	GRAPH	45	9.1%	✅
LLMI	LLMI	45	9.1%	✅
CNTX	CNTX	40	8.1%	✅
INFRA	INFRA	40	8.1%	✅
EKG	EKG	30	6.0%	✅
META	META	28	5.6%	✅
PROV	PROV	25	5.0%	✅
USE	USE	25	5.0%	✅

Visual Distribution

DTRC  ██████  66 ( 13.3%)
COMP  █████  55 ( 11.1%)
BUILD █████  50 ( 10.1%)
DATA  ████  47 (  9.5%)
GRAPH ████  45 (  9.1%)
LLMI  ████  45 (  9.1%)
CNTX  ████  40 (  8.1%)
INFRA ████  40 (  8.1%)
EKG   ███  30 (  6.0%)
META  ██  28 (  5.6%)
PROV  ██  25 (  5.0%)
USE   ██  25 (  5.0%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

Category Details

DTRC (DTRC)

Count: 66 concepts (13.3%)

Concepts:

• 1. Decision Trace Anatomy
• 1. Exception Logic
• 1. Historical Precedent
• 1. Cross-System Synthesis
• 1. Out-of-Band Approval
• 1. Approval Chain
• 1. Decision Justification
• 1. Decision Actor
• 1. Decision Timestamp
• 1. Decision Outcome
• 1. Linked Precedent
• 1. Exception Pattern
• 1. Policy Version Reference
• 1. Decision Context Capture
• 1. Real-Time Trace Recording
• ...and 51 more

COMP (COMP)

Count: 55 concepts (11.1%)

Concepts:

• 1. Regulatory Compliance
• 1. Automated Decision Regulation
• 1. GDPR Explainability Requirement
• 1. Right to Explanation
• 1. Audit Log
• 1. Audit Trail Design
• 1. Explainability by Design
• 1. Post-Hoc Explainability
• 1. Model Card
• 1. Decision Record Format
• 1. Data Retention Policy
• 1. Data Purge Policy
• 1. Compliance Reporting
• 1. Algorithmic Accountability
• 1. Bias Detection
• ...and 40 more

BUILD (BUILD)

Count: 50 concepts (10.1%)

Concepts:

• 1. Context Graph Storage Layer
• 1. Property Graph Database Selection
• 1. Vector Index Layer
• 1. Hybrid Storage Architecture
• 1. Ingestion Pipeline Design
• 1. Real-Time Ingestion
• 1. Batch Ingestion
• 1. Backfill Strategy
• 1. Schema Evolution
• 1. Context Graph SDK
• 1. Context Graph REST API
• 1. Context Graph GraphQL API
• 1. Event-Driven Ingestion
• 1. Event Streaming Integration
• 1. Message Queue Pattern
• ...and 35 more

DATA (DATA)

Count: 47 concepts (9.5%)

Concepts:

• 1. Data Lake
• 1. Data Lakehouse
• 1. Semantic Layer
• 1. Business Metric
• 1. Dimension
• 1. Logical Data Model
• 1. Virtual View
• 1. Metric Store
• 1. SQL-Based Semantic Layer
• 1. OLAP Semantic Layer Tool
• 1. Cube (Semantic Layer)
• 1. Business Glossary
• 1. Query Federation
• 1. Data Virtualization
• 1. Naming Convention Standard
• ...and 32 more

GRAPH (GRAPH)

Count: 45 concepts (9.1%)

Concepts:

• 1. Knowledge Graph
• 1. Labeled Property Graph
• 1. Graph Database
• 1. Node
• 1. Edge
• 1. Node Label
• 1. Edge Type
• 1. Graph Property
• 1. Graph Schema
• 1. Cypher Query Language
• 1. openCypher Standard
• 1. GQL Standard
• 1. Graph Pattern Matching
• 1. Graph Traversal
• 1. Path Query
• ...and 30 more

LLMI (LLMI)

Count: 45 concepts (9.1%)

Concepts:

• 1. LLM Integration Pattern
• 1. Context Retrieval
• 1. Relevance Ranking
• 1. Semantic Similarity
• 1. Vector Embedding
• 1. Hybrid Retrieval
• 1. Context Window Budget
• 1. Context Compression
• 1. Context Pruning
• 1. Grounding Strategy
• 1. Prompt Engineering with Context
• 1. Few-Shot Context Injection
• 1. Chain-of-Thought with Context
• 1. Context Reranking
• 1. Multi-Hop Retrieval
• ...and 30 more

CNTX (CNTX)

Count: 40 concepts (8.1%)

Concepts:

• 1. Context Problem
• 1. LLM Context Window
• 1. Retrieval-Augmented Generation
• 1. RAG Limitations
• 1. Static vs Dynamic Knowledge
• 1. Hallucination
• 1. Organizational Knowledge Gap
• 1. Decision Context
• 1. Tacit Knowledge
• 1. Implicit Organizational Knowledge
• 1. Context Freshness
• 1. Context Relevance
• 1. Context Window Management
• 1. Long-Term Memory for AI
• 1. Short-Term vs Long-Term Memory
• ...and 25 more

INFRA (INFRA)

Count: 40 concepts (8.1%)

Concepts:

• 1. Data Mesh
• 1. Data Product
• 1. Data Contract
• 1. Data SLA
• 1. Data Observability
• 1. SQL Transformation Tool
• 1. Workflow Orchestration Tool
• 1. Event Streaming Platform
• 1. Graph Batch Processing
• 1. Streaming Graph Update
• 1. Multi-Model Database
• 1. Document Store Integration
• 1. Time-Series Integration
• 1. Feature Engineering from Graph
• 1. Knowledge Graph as Feature Store
• ...and 25 more

EKG (EKG)

Count: 30 concepts (6.0%)

Concepts:

• 1. Enterprise Knowledge Graph
• 1. Entity
• 1. Entity Resolution
• 1. Master Data Management
• 1. Canonical Entity Model
• 1. Hub-and-Spoke Graph Architecture
• 1. Federated Graph Architecture
• 1. Graph Schema Governance
• 1. Schema Drift
• 1. Stale Edge Detection
• 1. Missing Provenance
• 1. HR Data Graph
• 1. Finance Data Graph
• 1. CRM Graph Integration
• 1. ERP Graph Integration
• ...and 15 more

META (META)

Count: 28 concepts (5.6%)

Concepts:

• 1. Metadata Registry
• 1. ISO 11179 Standard
• 1. Data Element
• 1. Data Element Concept
• 1. Conceptual Domain
• 1. Value Domain
• 1. Object Class
• 1. Property (ISO 11179)
• 1. Permissible Value
• 1. Data Definition
• 1. Authoritative Source
• 1. Registry Entry
• 1. Administered Item
• 1. Registration Authority
• 1. ISO 11179 Naming Convention
• ...and 13 more

PROV (PROV)

Count: 25 concepts (5.0%)

Concepts:

• 1. Process Mining
• 1. Event Log
• 1. IEEE XES Standard
• 1. Process Discovery
• 1. Conformance Checking
• 1. Process Enhancement
• 1. Structured Logging
• 1. Log Schema
• 1. Event Stream
• 1. Graph-Ingestible Log
• 1. Upstream Lineage
• 1. Downstream Lineage
• 1. Column-Level Lineage
• 1. Data Provenance
• 1. Custody Chain
• ...and 10 more

USE (USE)

Count: 25 concepts (5.0%)

Concepts:

• 1. Finance Automation Use Case
• 1. Revenue Reporting Exception
• 1. ARR Definition Conflict
• 1. Sales Engagement Use Case
• 1. Sales Playbook Precedent
• 1. Engineering Incident Use Case
• 1. Production Decision Record
• 1. Legal Compliance Use Case
• 1. Regulatory Audit Automation
• 1. Customer Success Use Case
• 1. Account History Graph
• 1. Escalation Logic
• 1. HR Workflow Automation
• 1. Procurement Use Case
• 1. Supply Chain Use Case
• ...and 10 more

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 8.3%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

---

Report generated by learning-graph-reports/taxonomy_distribution.py