A big data dynamic semantic mapping and secure transparent transmission system and method supporting an AI context protocol

Abstract

This invention discloses a system and method for dynamic semantic mapping and secure pass-through of big data supporting AI context protocols. The system includes a data acquisition module, a semantic knowledge graph construction module, a context generation module, an identity authentication module, an SQL processing module, and a feedback optimization module. The method includes: Step S1: Multi-source metadata fusion and semantic graph construction; Step S2: Intent-based dynamic context resource generation; Step S3: Dynamic pass-through of user identity and session binding; Step S4: Context-based query rewriting and security interception; Step S5: Feedback closed-loop optimization. This invention achieves "what you see is what you get" secure data querying, ensuring data security while improving query efficiency.

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