Taxonomy Distribution Report

Overview

• Total Concepts: 259
• Number of Taxonomies: 12
• Average Concepts per Taxonomy: 21.6

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Advanced Analytics	ADV	44	17.0%	✅
Security and Rules	SECUR	41	15.8%	✅
Foundation Concepts	FOUND	32	12.4%	✅
Future and AI	AIML	28	10.8%	✅
Healthcare Domain	HEALTH	26	10.0%	✅
Spatial Modeling	SPACE	16	6.2%	✅
Knowledge Representation	KNOWL	16	6.2%	✅
Process and Events	PROC	13	5.0%	✅
Temporal Modeling	TIME	12	4.6%	✅
Language and NLP	LANG	12	4.6%	✅
Customer Domain	CUST	11	4.2%	✅
Product Domain	PROD	8	3.1%	✅

Visual Distribution

ADV    ████████  44 ( 17.0%)
SECUR  ███████  41 ( 15.8%)
FOUND  ██████  32 ( 12.4%)
AIML   █████  28 ( 10.8%)
HEALTH █████  26 ( 10.0%)
SPACE  ███  16 (  6.2%)
KNOWL  ███  16 (  6.2%)
PROC   ██  13 (  5.0%)
TIME   ██  12 (  4.6%)
LANG   ██  12 (  4.6%)
CUST   ██  11 (  4.2%)
PROD   █   8 (  3.1%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

Advanced Analytics (ADV)

Count: 44 concepts (17.0%)

Concepts:

• 1. Data Connection
• 1. Identical Attributes
• 1. Similar Attributes
• 1. SoundEx Algorithm
• 1. Nickname Matching
• 1. Similarity Metrics
• 1. Embeddings
• 1. Vector Stores ER
• 1. Graph Advantage for ER
• 1. Digital Twins
• 1. Building Models
• 1. Manufacturing Models
• 1. Supply Chain Models
• 1. Real-time Updates
• 1. Graph Advantages DT
• ...and 29 more

Security and Rules (SECUR)

Count: 41 concepts (15.8%)

Concepts:

• 1. Rule Engines
• 1. Context Transfer Challenge
• 1. In-Graph Rules
• 1. Rules and Workflows
• 1. Rule Modeling
• 1. BPMN Notation
• 1. Decision Trees
• 1. Validation Rules
• 1. Data Mining
• 1. Process Mining
• 1. Rule Execution
• 1. Rule Exchange
• 1. Performance Advantage
• 1. Code Graphs
• 1. Nodes as Functions
• ...and 26 more

Foundation Concepts (FOUND)

Count: 32 concepts (12.4%)

Concepts:

• 1. Graph Data Model
• 1. World Models
• 1. GraphRAG Pattern
• 1. Vector Stores
• 1. Semantic Indexes
• 1. Real-Time Systems
• 1. Knowledge Triangle
• 1. Data Layer
• 1. Information Layer
• 1. Knowledge Layer
• 1. Sensor Data
• 1. Page Rank Algorithm
• 1. Relational Models
• 1. Analytical Models
• 1. Key-Value Stores
• ...and 17 more

Future and AI (AIML)

Count: 28 concepts (10.8%)

Concepts:

• 1. Tradeoff Analysis
• 1. Graph Training
• 1. Graph Performance
• 1. Transactional Integrity
• 1. Scalability
• 1. Sustainability
• 1. Graph Storytelling
• 1. Model Expansion
• 1. Complex Adaptive Systems
• 1. Edge of Chaos
• 1. Model Complexity
• 1. Cost-Benefit Analysis
• 1. Initial Project Costs
• 1. Ongoing Project Costs
• 1. Network Effects
• ...and 13 more

Healthcare Domain (HEALTH)

Count: 26 concepts (10.0%)

Concepts:

• 1. Fraud/Waste/Abuse
• 1. Anti-Money Laundering
• 1. Unusual Relationships
• 1. Investigations
• 1. Patient Modeling
• 1. Clinical Data
• 1. Claims
• 1. Providers
• 1. Population Health
• 1. Disease Spread
• 1. Benefit Plans
• 1. Plan Coverage
• 1. Healthcare Costs
• 1. Value-Based Care
• 1. Patient Similarity
• ...and 11 more

Spatial Modeling (SPACE)

Count: 16 concepts (6.2%)

Concepts:

• 1. Spatial Challenges
• 1. Location Modeling
• 1. Longitude and Latitude
• 1. Distance Calculations
• 1. Address Modeling
• 1. City/County/State Model
• 1. Metropolitan Regions
• 1. Sales Regions
• 1. Urban/Rural Regions
• 1. Social Determinants
• 1. Road Modeling
• 1. Shortest Path
• 1. Traveling Salesperson
• 1. Bus Routes
• 1. Provider Distance
• ...and 1 more

Knowledge Representation (KNOWL)

Count: 16 concepts (6.2%)

Concepts:

• 1. Knowledge Graphs
• 1. The Semantic Spectrum
• 1. SKOS Standard
• 1. SKOS in LPG
• 1. Acronyms and Abbreviations
• 1. Business Glossaries
• 1. Taxonomies
• 1. Ontologies
• 1. Concept Nodes
• 1. Concept Labels
• 1. Preferred Labels
• 1. Alternate Labels
• 1. Broader/Narrower
• 1. Semantic Variability
• 1. Concept Schemas
• ...and 1 more

Process and Events (PROC)

Count: 13 concepts (5.0%)

Concepts:

• 1. Event Modeling
• 1. Event Mining
• 1. Events and Workflows
• 1. Event Logs
• 1. Event Dashboards
• 1. Learning Graphs
• 1. Concept Dependencies
• 1. Concept Models
• 1. Content Models
• 1. Learning Paths
• 1. Path Recommendations
• 1. Content Recommendations
• 1. Intelligent Textbooks

Temporal Modeling (TIME)

Count: 12 concepts (4.6%)

Concepts:

• 1. DateTime Structure
• 1. Time Trees
• 1. Year/Month/Day Hierarchy
• 1. Hour/Minute/Second
• 1. Millisecond Precision
• 1. Financial Time
• 1. Organization Calendar
• 1. Time Exceptions
• 1. Daylight Savings Time
• 1. Bitemporal Graphs
• 1. Real World Time
• 1. System Time

Language and NLP (LANG)

Count: 12 concepts (4.6%)

Concepts:

• 1. Language in Graphs
• 1. Words in Graphs
• 1. WordNet
• 1. NLP Basics
• 1. Entity Extraction
• 1. Sentence Modeling
• 1. Paragraph Modeling
• 1. Document Modeling
• 1. Document Pipelines
• 1. Synonyms
• 1. Synonym Rings
• 1. Antonyms

Customer Domain (CUST)

Count: 11 concepts (4.2%)

Concepts:

• 1. Customer Definition
• 1. Individual Customers
• 1. Customer Locations
• 1. Customer Addresses
• 1. Household Modeling
• 1. Family Relationships
• 1. Corporate Customers
• 1. Organization Customers
• 1. License Modeling
• 1. Abuse Detection
• 1. IP Address Tracking

Product Domain (PROD)

Count: 8 concepts (3.1%)

Concepts:

• 1. Product Lists
• 1. Product Groupings
• 1. Product Taxonomies
• 1. Multiple Taxonomies
• 1. Classification Tools
• 1. Product Similarity
• 1. Product Embeddings
• 1. Product Metadata

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 13.9%)
• ✅ 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

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