Metadata Packet for AI Indexing: A Formal Specification for Entity-Level Retrieval Architecture
Rex Fraction, Lee Sharks
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.
Topics & Concepts
Computer scienceInformation retrievalMetadataNatural language processingDocument retrievalStructuringRepresentation (politics)Knowledge representation and reasoningEntity linkingArchitectureArtificial intelligenceEntity–relationship modelDescription logicSemantics (computer science)Relevance (law)Formal specificationSemantic WebSemantic computingFormal descriptionSemantic similaritySemantic Web StackSearch engine indexingOntologyHuman–computer information retrievalProgramming languageSemantic interoperabilityWorld Wide WebSemantic Web and OntologiesBiomedical Text Mining and OntologiesTopic Modeling