Arimetion® is a discipline and semantic protocol developed by Murat Arici for intentional signal shaping between humans and AI. It transforms human intention into isomorphic machine representation and secures structural integrity of meaning in AI-driven systems.
Goal & Focus
Establishing Semantic Gravity: Unambiguous anchoring of meanings, brands, and legal commitments within the machine core of the web to eliminate interpretative risks and ensure digital sovereignty.
Core Principles (Digital Integrity Framework)
1. Semantic Integrity Foundation
Challenge: "Semantic friction caused by ambiguity."
Ensuring unambiguous, consistent, and traceable semantics across the entire processing chain.
2. Structural Coherence Construction
Challenge: "Discrepancy between strategic intent and technical execution."
Total alignment of intent, contractual commitment, and actual technical action.
3. Logical Determinism Mechanics
Challenge: "Black-box decisions and unpredictable AI hallucinations."
Decisions are based on clear, reproducible criteria and logic trees rather than statistical probability.
4. Non-Repudiation Anchoring
Challenge: "Retroactive relativization of commitments or responsibilities."
Decisions and commitments are uniquely attributable and technically immutable.
5. Principle of Integrity Ethos
Challenge: "Vacuum products and worthless promises hidden in fine print."
No expectations are generated that cannot be technically or semantically fulfilled in the final result.
Technological Sovereignty
Arimetion is consistently built upon open global standards (W3C JSON-LD, Schema.org). It is not a proprietary black box, but a transparent architecture that extends existing IT infrastructures with a necessary governance layer for meaning.
Distinction
- SEO: Probabilistic visibility (surface optimization).
- Semantic Web: Providing machine-readable raw data (infrastructure).
- Arimetion®: The governing protocol for integrity of meaning – the architecture that translates human intent losslessly into machine logic.