Chinese medicine question-answering system and method based on knowledge graph

Abstract

A Chinese medicine question-answering system based on the knowledge graph comprises a knowledge graph construction module, a question classification module, a database query module, an answer integration module and a result display module. The invention discloses a Chinese medicine question and answer method based on a knowledge graph. The method comprises the following steps: S1, obtaining a query text of a user; S2, analyzing the question of the user to obtain a subject entity, a question category and a question type; S3, performing related query according to the analysis result and a pre-constructed Chinese medicine knowledge graph to obtain a query result; S4, sorting the medicine query results to form dialogue answers conforming to natural languages and visual data; and S5, displaying the text answer and the visual data. The question type division accuracy and the answer precision are improved, the requirements of the user for medicine consultation, food guide and disease auxiliary diagnosis and treatment are met, and more convenient and efficient services are provided for the user.

Description

technical field [0001] The present invention relates to the fields of knowledge graph and machine learning, and more specifically relates to a Chinese medical question answering system and method based on knowledge graph. Background technique [0002] With more and more people using the Internet, medical big data has gradually entered people's daily life. How to analyze the data with huge volume and complex structure, and obtain usable medical knowledge from it, is the key to the practical application of medical big data. The medical question answering system is a typical application in the medical field to understand user intentions and help users obtain answers. The knowledge map stores and processes data in the form of a graph structure, which can extract useful information from massive data and effectively process massive medical data. At present, it is difficult for webpage queries to give targeted answers to medical questions raised by users, but the medical question...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems of inaccurate search and matching of existing problems in the field of Chinese medicine, inaccurate answer returns, and insufficient personalized search capabilities, the present invention provides a knowledge map-based Medical question answering system and its method, which can find answers to relevant questions in the medical field more quickly and efficiently

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