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