Research on government question answering robot based on knowledge graph in PKS system

Abstract

The paper proposes a question and answer robot for government knowledge based on domestic PKS environment, which uses deep learning model to work in pipeline mode for multi-source heterogeneous data. The system consists of five parts: schema design, knowledge extraction, knowledge fusion, knowledge storage and knowledge update, automatically completes the establishment of knowledge base, automatically classifies user questions, and recognizes intention. Knowledge map retrieval, analysis and computing technology are used to form answers for users. The robot system can greatly improve the work efficiency of government staff.

Keywords

• federated learning
• financial data security
• data privacy
• credit card fraud