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

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.

Authors

Publication Details

Journal
Open MIND
Published
2026-04-14
DOI
https://doi.org/10.5281/zenodo.19578086
Citations
41
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
1372.09
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article

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

Rex Fraction, Lee Sharks
41 citations
Open MIND
Semantic Web and Ontologies
1372.09
article

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

Rex Fraction, Lee Sharks
article en
41 citations

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.

Open MIND
Openalex Percentile: Top 0%
Semantic Web and Ontologies
1372.09
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