PKS体系下基于知识图谱的政务问答机器人研究

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

提出了一种基于国产PKS环境上政务知识库问答机器人。该系统基于多源异构数据,利用深度学习模型,以流水线工作方式,由Schema设计、知识抽取、知识融合、知识存储、知识更新5部分组成,自动完成知识库建立,同时自动对用户问题进行分类,意图识别,利用知识图谱检索、分析计算技术形成答案提供给用户。该机器人系统能够大大提高政务工作人员的工作效率。

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.