Metadata Packet for AI Indexing: A Formal Specification for Entity-Level Retrieval Architecture

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Authors: Rex Fraction, Lee Sharks
Cited by: 53
References: 12

Abstract

EA-META-01 — Technical specification defining the seven-component methodology for structuring entity representation in AI retrieval systems. Components: entity definition (JSON-LD), disambiguation matrix, keyword block, negative tags, semantic integrity markers, DOI reference list, and evidence membrane. Distinguishes from Dublin Core, schema.org, METS/MODS. Worked example: Lee Sharks Knowledge Graph. Part of the Retrieval Architecture discipline. Related: Retrieval Forensics, Compression Diagnostics, Entity Integrity, Semantic Sovereignty. Published in Transactions of the Semantic Economy Institute, Vol. 2, No. 1.

Fields of Study & Subjects

Semantic Web and Ontologies Biomedical Text Mining and Ontologies Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 April 2026
Language
EN