Construction of Question Answering System in Medical Field Based on Knowledge Graph
PAN Lihu
HAO Jinglong
Abstract：Aiming at people's demand for disease prevention and treatment,and in order to overcome the problems of medical information fragmentation,this paper constructs a medical field question answering system based on knowledge graph.Firstly,this paper completes the construction process of the medical field knowledge graph step by step from knowledge extraction,knowledge fusion and knowledge storage.In the Neo4j database,hierarchical interconnection and semantic processing capabilities are realized in the form of graphic structure,and the systematicness and relevance of knowledge are intuitively displayed.Then,a knowledge graph question and answering method is given,the Bert-BiLSTM-CRF model is used to recognize the entities of natural language questions,and the entity link algorithm is designed to generate the question candidate triples in the knowledge graph as the answer result,which realizes the retrieval and utilization of the knowledge graph of the medical field,and the constructed system can accu-rately answer the related problems of disease prevention and treatment.
Keywords：knowledge graphquestion answering systemenity recognitionenity link
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3055-3059,3091 )