Rex Fraction, Lee Sharks
A technical specification defining structured metadata packets for entity-level retrieval in AI systems, using seven components to enhance search accuracy and reliability.
Existing metadata standards (Dublin Core, schema.org, etc.) focus on document level, limiting fine-grained entity search and disambiguation. AI retrieval systems require a structured metadata format for accurate entity identification and reliable information provision.
Design a metadata packet with seven components: entity definition (JSON-LD), disambiguation matrix, keyword block, negative tags, semantic integrity markers, DOI reference list, and evidence membrane. Each component supports entity identification, classification, and verification. The Lee Sharks knowledge graph serves as an example application.
Clearly differentiates from existing standards and provides a foundation for entity-level retrieval architecture. However, lacks experimental validation or real-world system application, making practical evaluation difficult.