Taxonomy Distribution Report

Overview

• Total Concepts: 200
• Number of Taxonomies: 13
• Average Concepts per Taxonomy: 15.4

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
CHAT	CHAT	46	23.0%	✅
SEARCH	SEARCH	28	14.0%	✅
RAG	RAG	18	9.0%	✅
EMBED	EMBED	17	8.5%	✅
SEC	SEC	16	8.0%	✅
GRAPH	GRAPH	15	7.5%	✅
EVAL	EVAL	15	7.5%	✅
QUERY	QUERY	11	5.5%	✅
Foundation Concepts - Prerequisites	FOUND	9	4.5%	✅
NLP	NLP	8	4.0%	✅
METRIC	METRIC	7	3.5%	✅
LLM	LLM	7	3.5%	✅
TOOL	TOOL	3	1.5%	ℹ️ Under

Visual Distribution

CHAT   ███████████  46 ( 23.0%)
SEARCH ███████  28 ( 14.0%)
RAG    ████  18 (  9.0%)
EMBED  ████  17 (  8.5%)
SEC    ████  16 (  8.0%)
GRAPH  ███  15 (  7.5%)
EVAL   ███  15 (  7.5%)
QUERY  ██  11 (  5.5%)
FOUND  ██   9 (  4.5%)
NLP    ██   8 (  4.0%)
METRIC █   7 (  3.5%)
LLM    █   7 (  3.5%)
TOOL      3 (  1.5%)

Balance Analysis

✅ No Over-Represented Categories

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

ℹ️ Under-Represented Categories (<3%)

• TOOL (TOOL): 3 concepts (1.5%)
• Note: Small categories are acceptable for specialized topics

Category Details

CHAT (CHAT)

Count: 46 concepts (23.0%)

Concepts:

• 1. Chatbot
• 1. Conversational Agent
• 1. Dialog System
• 1. Intent Recognition
• 1. Intent Modeling
• 1. Intent Classification
• 1. Entity Extraction
• 1. Named Entity Recognition
• 1. Entity Type
• 1. Entity Linking
• 1. FAQ
• 1. FAQ Analysis
• 1. Question-Answer Pair
• 1. User Query
• 1. User Intent
• ...and 31 more

SEARCH (SEARCH)

Count: 28 concepts (14.0%)

Concepts:

• 1. Keyword Search
• 1. Search Index
• 1. Inverted Index
• 1. Reverse Index
• 1. Full-Text Search
• 1. Boolean Search
• 1. Search Query
• 1. Query Parser
• 1. Synonym Expansion
• 1. Thesaurus
• 1. Ontology
• 1. Taxonomy
• 1. Controlled Vocabulary
• 1. Metadata
• 1. Metadata Tagging
• ...and 13 more

RAG (RAG)

Count: 18 concepts (9.0%)

Concepts:

• 1. External Knowledge
• 1. Public Knowledge Base
• 1. Internal Knowledge
• 1. Private Documents
• 1. Document Corpus
• 1. RAG Pattern
• 1. Retrieval Augmented Generation
• 1. Retrieval Step
• 1. Augmentation Step
• 1. Generation Step
• 1. Context Window
• 1. Prompt Engineering
• 1. System Prompt
• 1. User Prompt
• 1. RAG Limitations
• ...and 3 more

EMBED (EMBED)

Count: 17 concepts (8.5%)

Concepts:

• 1. Word Embedding
• 1. Embedding Vector
• 1. Vector Space Model
• 1. Vector Dimension
• 1. Embedding Model
• 1. Word2Vec
• 1. GloVe
• 1. FastText
• 1. Sentence Embedding
• 1. Contextual Embedding
• 1. Vector Database
• 1. Vector Store
• 1. Vector Index
• 1. Approximate Nearest Neighbor
• 1. FAISS
• ...and 2 more

SEC (SEC)

Count: 16 concepts (8.0%)

Concepts:

• 1. Security
• 1. Authentication
• 1. Authorization
• 1. User Permission
• 1. Role-Based Access Control
• 1. RBAC
• 1. Access Policy
• 1. Data Privacy
• 1. PII
• 1. Personally Identifiable Info
• 1. GDPR
• 1. Data Retention
• 1. Log Storage
• 1. Chat Log
• 1. Logging System
• ...and 1 more

GRAPH (GRAPH)

Count: 15 concepts (7.5%)

Concepts:

• 1. GraphRAG Pattern
• 1. Knowledge Graph
• 1. Graph Database
• 1. Node
• 1. Edge
• 1. Triple
• 1. Subject-Predicate-Object
• 1. RDF
• 1. Graph Query
• 1. OpenCypher
• 1. Cypher Query Language
• 1. Neo4j
• 1. Corporate Nervous System
• 1. Organizational Knowledge
• 1. Knowledge Management

EVAL (EVAL)

Count: 15 concepts (7.5%)

Concepts:

• 1. Query Frequency
• 1. Frequency Analysis
• 1. Pareto Analysis
• 1. 80/20 Rule
• 1. Chatbot Metrics
• 1. KPI
• 1. Key Performance Indicator
• 1. Chatbot Dashboard
• 1. Acceptance Rate
• 1. User Satisfaction
• 1. Response Accuracy
• 1. Chatbot Evaluation
• 1. A/B Testing
• 1. Performance Tuning
• 1. Optimization

QUERY (QUERY)

Count: 11 concepts (5.5%)

Concepts:

• 1. Database Query
• 1. SQL Query
• 1. Query Parameter
• 1. Parameter Extraction
• 1. Query Template
• 1. Parameterized Query
• 1. Query Execution
• 1. Query Description
• 1. Natural Language to SQL
• 1. Question to Query Mapping
• 1. Slot Filling

Foundation Concepts - Prerequisites (FOUND)

Count: 9 concepts (4.5%)

Concepts:

• 1. Artificial Intelligence
• 1. AI Timeline
• 1. AI Doubling Rate
• 1. Moore's Law
• 1. Natural Language Processing
• 1. Text Processing
• 1. String Matching
• 1. Regular Expressions
• 1. Grep Command

NLP (NLP)

Count: 8 concepts (4.0%)

Concepts:

• 1. NLP Pipeline
• 1. Text Preprocessing
• 1. Text Normalization
• 1. Stemming
• 1. Lemmatization
• 1. Part-of-Speech Tagging
• 1. Dependency Parsing
• 1. Coreference Resolution

METRIC (METRIC)

Count: 7 concepts (3.5%)

Concepts:

• 1. Search Precision
• 1. Search Recall
• 1. F-Measure
• 1. F1 Score
• 1. Confusion Matrix
• 1. True Positive
• 1. False Positive

LLM (LLM)

Count: 7 concepts (3.5%)

Concepts:

• 1. Large Language Model
• 1. Transformer Architecture
• 1. Attention Mechanism
• 1. Token
• 1. Tokenization
• 1. Subword Tokenization
• 1. Byte Pair Encoding

TOOL (TOOL)

Count: 3 concepts (1.5%)

Concepts:

• 1. Team Project
• 1. Capstone Project
• 1. Chatbot Career

Recommendations

• ✅ Good balance: Categories are reasonably distributed (spread: 21.5%)
• ✅ 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