Permanent Data Encoding (PDE): A Visual Language for Semantic Compression and Knowledge Preservation in 3-Character Units

TL;DR

PDE introduces a visual language that encodes semantic information into compact, human-readable 2-3 character codes, enabling long-term, digital-independent knowledge preservation and interpretation.

Contribution

This work presents a novel visual language framework that encodes semantic content into compact codes with a structured dictionary system for durable, human-readable knowledge storage.

Findings

PDE allows visual interpretation of encoded semantic content.

PDE supports logical reconstruction without digital reliance.

Potential applications in disaster resilience and AI integration.

Abstract

Permanent Data Encoding (PDE) is a visual language framework designed for long-term, human-readable, and electrically independent knowledge preservation. By encoding semantic content into compact 2-3 character alphanumeric codes, paired with public dictionaries and rule-based expansion structures, PDE enables information to be visually interpreted and logically reconstructed without reliance on digital systems. Unlike QR codes or binary data, PDE offers a transparent and self-contained method of encoding meaning. This paper outlines the PDE syntax, dictionary protocol, use cases in disaster resilience and AI integration, and its implications as a cross-generational semantic infrastructure.