Add Ontology Term Reuse Analysis

[marvinm2]

Description

Identify and visualize the most frequently used ontology terms (GO processes, biological objects, biological actions, etc.) across Key Events. This shows which biological mechanisms are most commonly studied, helps standardize annotations, and reveals trends in pathway characterization.

Visualization Types

• Latest snapshot: Current ontology term usage distribution

Value & Priority

• Priority: Phase 3 - Lower Priority
• Value: Medium (standardization insights)
• Complexity: Medium

Implementation Details

Key Data Requirements

Properties from property_labels.csv:

• Biological Process (GO_0008150) - KE
• Biological Action (PATO_0000001) - KE
• Biological Object (PATO_0001241) - KE
• Has Biological Event (hasBiologicalEvent) - KE

Extract ontology term URIs and labels, count usage frequency across KEs.

Visualization Format

• Horizontal bar chart: Top 20-30 most used ontology terms
• Word cloud: Alternative visual for term frequency
• Breakdown by ontology: Separate views for GO, PATO, CHEBI, etc.
• Coverage analysis: What percentage of KEs use standard ontology terms

Expected Insights

• Identify most common biological mechanisms in AOP-Wiki
• Support standardization efforts by showing popular terms
• Reveal trends in biological pathway research
• Guide ontology term recommendations for curators
• Enable semantic search and term-based pathway discovery

Performance Notes

• Medium complexity due to ontology term parsing
• Need to extract and normalize term URIs
• May require ontology label lookups
• Consider caching ontology metadata