Semantic Logger - AI-Native Schema Portal

"The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation."

— Tim Berners-Lee

This portal realizes that vision through AI-native structured data that machines can understand and reason about autonomously.

MCP Server Integration

Complete Claude Code integration for AI-powered performance analysis through structured semantic profiling.

Setup Guide Configuration

Semantic Web Principles

Everything is Machine-Readable

No human-only documentation. All data structures are self-describing through JSON Schema.

Links Over Comments

Semantic relationships expressed through URIs and JSON pointers, not prose.

AI as Quality Gatekeeper

Regular AI feedback loops identify and eliminate non-semantic patterns.

Schema-First Design

Structure meaning before implementation. Schemas define semantic contracts.

Schema Registry

Semantic Log

Root schema for structured semantic logging with open/close lifecycle tracking. Includes JSON pointer links for AI understanding.

Schema AI Prompt

Open Context

Request initiation context with profiling start. Includes call field for direct code access via PSR-4.

Schema AI Prompt

Complete Context

Successful operation completion with profiling results. Contains structured performance data for AI analysis.

Schema AI Prompt

Error Context

Exception handling context with profiling data preservation. Enables AI-powered error analysis.

Schema

Profile Data

Aggregated profiling data from XHProf, Xdebug, and PHP backtrace. Includes spec URLs for AI understanding.

Schema AI Prompt

Semantic Tags

Standardized semantic tags for categorizing and linking related concepts across the semantic web.

Schema