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v7.5.0 Release Notes ​

Release Date: October 2026

Key Highlights ​

Model Quality Audit & Scoring Engine ​

Termboard now provides a holistic model quality audit and composite scoring engine designed to assess the health, completeness, and architectural rigor of your terminology models:

  • Composite Quality Score (0–100 & Letter Grades A+ to F): Evaluates models against four weighted pillars:
    • Structural Integrity (35%): Penalizes taxonomic cycles, duplicate terms, isolated graph islands, and excessive inheritance complexity.
    • Definition Completeness (25%): Evaluates description coverage and penalizes poor definition patterns (short, placeholder, or circular definitions).
    • Relational Consistency (25%): Checks synonym integrity, redundant transitive relations, and missing attributive connections.
    • Graph Richness & Density (15%): Assesses relational depth, branching balance, and graph maturity.
  • Executive Audit Modal: Access the full audit breakdown by clicking the quality scorecard in the Semantic Checks header. Review pillar gauges, overall graph statistics, and qualitative architecture verdicts.
  • Prioritized Action Items: See an ordered list of recommendations ranked by estimated score recovery points, with one-click navigation directly to the corresponding check tab in the sidebar.
  • Audit Evolution Tracking: Automatically tracks score history across revisions in the document metadata, letting you see quality improvements over time.
  • Export Markdown Audit Report: Generate and download an executive Markdown report for stakeholder review and governance compliance.

Disconnected Graph Islands Semantic Check ​

Detect and clean up fragmented components in your ontology:

  • Island Cluster Detection: Identifies secondary connected subgraphs (clusters of 2 or more nodes) disconnected from the main ontology component.
  • Clear Cluster Grouping: Inspect island members grouped by cluster with node counts and direct selection capabilities.
  • Taxonomic Integration: Quickly bridge isolated clusters back to the root ontology structure.

For complete documentation, see the Semantic Checks & Quality Scoring Guide.