Profile Data Schema - Semantic Web Knowledge Graph

This schema defines profiling data as a knowledge graph node, not traditional log entries.

Key Semantic Web Principles:

1. **Raw Data + Specification Links**: Store raw XHProf/Xdebug/PHP data with authoritative specification URLs, enabling AI tools to understand format semantics directly from source documentation.

2. **Self-Contained Knowledge**: Each profile contains complete semantic context - no external dependencies for interpretation. AI can analyze performance patterns without prior training on proprietary formats.

3. **Standards Compliance**: All data structures reference official specifications:
   - XHProf: Tideways extension documentation  
   - Xdebug: Official trace format specifications
   - PHP: debug_backtrace() function reference

4. **Machine Actionable**: JSON Schema + JSON pointer creates machine-readable semantic links. Claude Code can automatically:
   - Identify performance bottlenecks
   - Correlate memory usage patterns  
   - Trace execution flows
   - Generate optimization recommendations

Generate schemas that preserve this knowledge graph nature - every profiling field should be semantically linked to its authoritative specification for true machine understanding.