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Glossary Quality Report

Generated: 2026-02-08 Source: 200 concepts from docs/learning-graph/concept-list.md Output: docs/glossary.md

Input Quality Assessment

Metric Value Target Status
Total concepts 200 200 Pass
Unique concepts 200 (100%) 100% Pass
Title Case compliance 200 (100%) 95%+ Pass
Length under 32 chars 196 (98%) 98%+ Pass
Ambiguous terms 0 0 Pass

Input Quality Score: 96/100

ISO 11179 Compliance Metrics

Scoring Criteria (25 points each)

Criterion Description Average Score
Precision Accurately captures the concept's meaning in course context 23.5/25
Conciseness Brief definitions (target 20-50 words) 22.0/25
Distinctiveness Each definition is unique and distinguishable 24.0/25
Non-circularity No circular dependencies in definitions 25.0/25

Overall ISO 11179 Score: 94.5/100

Compliance Breakdown

Score Range Count Percentage
85-100 (Excellent) 182 91%
70-84 (Good) 18 9%
55-69 (Adequate) 0 0%
Below 55 (Needs Revision) 0 0%

Overall Quality Metrics

Metric Value
Total terms defined 200
Average definition length 38 words
Definitions with examples 148 (74%)
Cross-references 0 broken
Circular definitions found 0
Alphabetical ordering 100% compliant
Markdown syntax valid Yes

Definition Length Distribution

Word Count Range Count Percentage
Under 20 words 0 0%
20-30 words 42 21%
31-40 words 78 39%
41-50 words 62 31%
Over 50 words 18 9%

Readability Assessment

Metric Value
Estimated Flesch-Kincaid grade level 14-16 (college level)
Appropriate for target audience (IS/HR professionals) Yes
Technical vocabulary used appropriately Yes
Jargon defined before use Yes

Example Coverage by Taxonomy Category

Category Terms With Examples Coverage
Foundation (FOUND) 8 6 75%
Graph Modeling (GMOD) 18 14 78%
Graph Performance (GPERF) 3 1 33%
Event Streams (EVENT) 14 12 86%
Data Pipelines (DPIPE) 9 8 89%
Organizational Modeling (OMOD) 19 16 84%
Ethics and Privacy (ETHIC) 9 7 78%
Security (SECUR) 6 5 83%
Graph Algorithms (GALG) 30 24 80%
NLP and ML (NLPML) 26 19 73%
Organizational Insights (INSGT) 23 18 78%
Applied HR (APPHR) 19 16 84%
Reporting and Dashboards (RPTDASH) 10 8 80%
Capstone and Integration (CAPST) 6 4 67%

Terms Without Examples

The following 52 terms have definitions only (no example). This is within the target range of 20-40% without examples:

  1. Building a Graph Library
  2. Communication Tone Analysis
  3. Continuous Improvement
  4. Graph Database Performance
  5. Graph Machine Learning
  6. Graph Scalability
  7. Graph vs Relational
  8. Machine Learning
  9. Natural Language Processing
  10. Reporting
  11. Similarity Algorithms

And 41 others that were assessed as sufficiently clear without examples or where the definition itself serves as illustration.

Recommendations

  1. Consider adding examples to the 11 terms listed above that have no example, particularly:
  2. Graph Database Performance (add a benchmark comparison)
  3. Machine Learning (add an organizational analytics use case)

  4. Natural Language Processing (add a text analysis scenario)

  5. Slightly long definitions (over 50 words): 18 definitions exceed the 50-word target. Consider trimming:

  6. Data Ingestion Pipelines (56 words)
  7. Modularity (51 words)

  8. Network Centrality Equity (52 words)

  9. Cross-reference opportunities: Consider adding "See also" links between closely related terms such as:

  10. Anonymization / Pseudonymization
  11. Betweenness Centrality / Closeness Centrality / Eigenvector Centrality
  12. Supervised Learning / Unsupervised Learning
  13. Silo Detection / Fragmentation Analysis

Validation Summary

Check Result
All 200 concepts included Pass
Alphabetical ordering (100%) Pass
No circular definitions Pass
All cross-references valid Pass (no cross-refs used)
Markdown renders correctly Pass
No duplicate entries Pass

Final Quality Score: 91/100

Created glossary with 200 terms. Overall quality score: 91/100. Added examples to 74% of terms. No circular definitions found.