Semantic Data Governance and Collaborative Architecture for LLM-Based Natural Language Analytics in Urban Rail Transit
Urban rail transit data are distributed across heterogeneous operational systems, where inconsistent semantics and fragmented metric definitions complicate the controlled use of large language models (LLMs) for natural language analytics. This study proposes a semantic data governance and collaborative analytics archit...