Taxonomy Distribution Report

Overview

• Total Concepts: 200
• Number of Taxonomies: 12
• Average Concepts per Taxonomy: 16.7

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Graph Foundations	FOUND	26	13.0%	✅
Graph Data Models and Schema	MODEL	26	13.0%	✅
Semantic Web Standards	STD	20	10.0%	✅
Taxonomies and Ontologies	TAXO	16	8.0%	✅
Building Knowledge Graphs	BUILD	16	8.0%	✅
Querying Knowledge Graphs	QUERY	16	8.0%	✅
Graph Algorithms and Analytics	ALGO	16	8.0%	✅
Knowledge Graphs and Machine Learning	GML	16	8.0%	✅
Knowledge Graphs and LLMs	LLM	14	7.0%	✅
Cross-Industry Case Studies	CASE	12	6.0%	✅
Legal and Enterprise Knowledge Graphs	LEGAL	12	6.0%	✅
Governance and Maintenance	GOV	10	5.0%	✅

Visual Distribution

Graph Foundations         ██████  26 ( 13.0%)
Graph Data Models and Sch ██████  26 ( 13.0%)
Semantic Web Standards    █████  20 ( 10.0%)
Taxonomies and Ontologies ████  16 (  8.0%)
Building Knowledge Graphs ████  16 (  8.0%)
Querying Knowledge Graphs ████  16 (  8.0%)
Graph Algorithms and Anal ████  16 (  8.0%)
Knowledge Graphs and Mach ████  16 (  8.0%)
Knowledge Graphs and LLMs ███  14 (  7.0%)
Cross-Industry Case Studi ███  12 (  6.0%)
Legal and Enterprise Know ███  12 (  6.0%)
Governance and Maintenanc ██  10 (  5.0%)

Balance Analysis

✅ No Over-Represented Categories

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

Category Details

Graph Foundations (FOUND)

Count: 26 concepts (13.0%)

Concepts:

• 1. Node
• 1. Edge
• 1. Directed Edge
• 1. Undirected Edge
• 1. Graph
• 1. Vertex
• 1. Triple
• 1. Subject
• 1. Predicate
• 1. Object
• 1. Entity
• 1. Attribute
• 1. Relationship
• 1. Adjacency
• 1. Graph Traversal
• ...and 11 more

Graph Data Models and Schema (MODEL)

Count: 26 concepts (13.0%)

Concepts:

• 1. RDF Triple
• 1. Property Graph
• 1. Labeled Property Graph
• 1. Blank Node
• 1. Named Graph
• 1. Reification
• 1. Quad Store
• 1. Triple Store
• 1. Graph Model Tradeoffs
• 1. Directed Acyclic Graph
• 1. Knowledge Graph
• 1. Class
• 1. Property
• 1. Datatype Property
• 1. Object Property
• ...and 11 more

Semantic Web Standards (STD)

Count: 20 concepts (10.0%)

Concepts:

• 1. RDF
• 1. RDFS
• 1. OWL
• 1. SKOS
• 1. SPARQL
• 1. URI
• 1. IRI
• 1. Namespace
• 1. Turtle Syntax
• 1. JSON-LD
• 1. N-Triples
• 1. XML Schema Datatype
• 1. OWL Class
• 1. OWL Property
• 1. Equivalent Class
• ...and 5 more

Taxonomies and Ontologies (TAXO)

Count: 16 concepts (8.0%)

Concepts:

• 1. Taxonomy
• 1. Controlled Vocabulary
• 1. Thesaurus
• 1. Synonym Ring
• 1. Broader Term
• 1. Narrower Term
• 1. Related Term
• 1. Facet
• 1. Polyhierarchy
• 1. Ontology
• 1. Class Hierarchy
• 1. Is-A Relationship
• 1. Part-Of Relationship
• 1. Upper Ontology
• 1. Domain Ontology
• ...and 1 more

Building Knowledge Graphs (BUILD)

Count: 16 concepts (8.0%)

Concepts:

• 1. Data Source
• 1. ETL Pipeline
• 1. Data Ingestion
• 1. Entity Extraction
• 1. Named Entity Recognition
• 1. Relation Extraction
• 1. Entity Resolution
• 1. Deduplication
• 1. Record Linkage
• 1. Data Cleaning
• 1. Schema Mapping
• 1. Data Transformation
• 1. Knowledge Extraction
• 1. Text Mining
• 1. Information Extraction
• ...and 1 more

Querying Knowledge Graphs (QUERY)

Count: 16 concepts (8.0%)

Concepts:

• 1. SPARQL Query
• 1. SELECT Query
• 1. CONSTRUCT Query
• 1. ASK Query
• 1. Triple Pattern
• 1. SPARQL Endpoint
• 1. Cypher Query
• 1. MATCH Clause
• 1. Pattern Matching
• 1. Path Query
• 1. Python Graph Client
• 1. RDFLib
• 1. Neo4j Driver
• 1. Query Optimization
• 1. Federated Query
• ...and 1 more

Graph Algorithms and Analytics (ALGO)

Count: 16 concepts (8.0%)

Concepts:

• 1. Centrality
• 1. Degree Centrality
• 1. Betweenness Centrality
• 1. Closeness Centrality
• 1. Eigenvector Centrality
• 1. PageRank
• 1. Community Detection
• 1. Clustering Coefficient
• 1. Shortest Path
• 1. Breadth-First Search
• 1. Depth-First Search
• 1. Connected Component
• 1. Graph Density
• 1. Subgraph
• 1. Graph Partitioning
• ...and 1 more

Knowledge Graphs and Machine Learning (GML)

Count: 16 concepts (8.0%)

Concepts:

• 1. Knowledge Graph Embedding
• 1. Node Embedding
• 1. TransE Model
• 1. Graph Neural Network
• 1. Message Passing
• 1. Link Prediction
• 1. Node Classification
• 1. Graph Convolution
• 1. Random Walk
• 1. Node2Vec
• 1. Knowledge Graph Completion
• 1. Negative Sampling
• 1. Embedding Space
• 1. Similarity Score
• 1. Triple Classification
• ...and 1 more

Knowledge Graphs and LLMs (LLM)

Count: 14 concepts (7.0%)

Concepts:

• 1. Large Language Model
• 1. Retrieval-Augmented Generation
• 1. GraphRAG
• 1. LLM Grounding
• 1. Hallucination
• 1. Prompt Engineering
• 1. LLM-Assisted Extraction
• 1. Vector Database
• 1. Semantic Search
• 1. Hybrid Retrieval
• 1. Knowledge Injection
• 1. Context Window
• 1. Fact Verification
• 1. Chunking Strategy

Cross-Industry Case Studies (CASE)

Count: 12 concepts (6.0%)

Concepts:

• 1. Search Knowledge Graph
• 1. Biomedical Knowledge Graph
• 1. Enterprise Knowledge Graph
• 1. Recommendation System
• 1. Product Graph
• 1. Social Graph
• 1. Citation Network
• 1. Fraud Detection Graph
• 1. Supply Chain Graph
• 1. Google Knowledge Graph
• 1. Graph Visualization
• 1. Financial Knowledge Graph

Legal and Enterprise Knowledge Graphs (LEGAL)

Count: 12 concepts (6.0%)

Concepts:

• 1. Matter Graph
• 1. Legal Document Graph
• 1. Expertise Location
• 1. Conflicts Checking
• 1. Legal Entity Resolution
• 1. Case Law Graph
• 1. Contract Graph
• 1. Client Relationship Graph
• 1. Legal Taxonomy
• 1. Precedent Relationship
• 1. Regulatory Graph
• 1. Outside Counsel Graph

Governance and Maintenance (GOV)

Count: 10 concepts (5.0%)

Concepts:

• 1. Data Governance
• 1. Data Provenance
• 1. Data Quality
• 1. Graph Versioning
• 1. Schema Evolution
• 1. Data Lineage
• 1. Access Control
• 1. Change Management
• 1. Audit Trail
• 1. Update Cadence

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 8.0%)
• ✅ 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