Research on Automation of Standard Document Classification and Information Extraction Supported by Knowledge Graphs

The classification and information extraction of standard documents is a critical topic in the field of knowledge management. This study designs and implements an intelligent processing system for standard documents supported by knowledge graphs. The system employs a layered architecture and an improved deep learning model, utilizing knowledge graphs for dynamic updates of domain knowledge. The system significantly outperforms traditional methods in document classification accuracy and information extraction efficiency. Deployed using a microservice architecture, the system demonstrates excellent scalability and stability, providing an effective technical solution for intelligent management of standard documents.