中国食物与营养2026，Vol.32Issue(8)：143-151,9.
基于知识图谱的抗炎饮食智能问答系统的构建及应用效果研究
Research on the Construction of an Intelligent Question-Answering System for Anti-Inflammatory Diets Based on Knowledge Graphs
摘要
Abstract
[Objective]Develop an intelligent question-answering system based on an anti-inflammatory diet knowledge graph to enhance the accessibility and accuracy of nutritional information for individuals with chronic low-grade inflammatory conditions.[Method]By integrating knowledge data from multiple sources including academic papers,nutritional guidelines,and expert consensus,we manually constructed the model layer and data layer of the knowledge graph.This involved defining entity types and relationships between entities,fol‐lowed by knowledge extraction and fusion.The resulting"entity-relationship-entity"triplet data was input into the Neo4j graph database for storage.Based on the anti-inflammatory knowledge graph,we completed knowledge graph query tasks and designed and developed an intelligent anti-inflammatory diet question-answering function through the collaboration of multidisciplinary team members.[Result]The constructed knowledge graph encompasses seven entity types:foods,inflammatory tendencies,food categories,functional effects,nutrients,disease populations,and dietary patterns.It includes six inter-entity relationships and connects 2,869"entity-relationship-entity"knowledge points.Based on this anti-inflammatory diet knowledge graph,a web-based intelligent question-answering system has been developed.[Conclusion]The Anti-Inflammatory Diet Intelligent Question-Answering System enables individuals with chronic low-grade inflammatory conditions to swiftly access evidence-based,professional,and standardized anti-inflammatory dietary information.It provides a scientific and convenient nutritional management tool for those with chronic low-grade inflammatory diseases,offering new technological support for chronic disease prevention and control.关键词
抗炎饮食/慢性低度炎症/知识图谱/问答系统Key words
anti-inflammatory diet/chronic low-grade inflammation/knowledge graph/question-answering system引用本文复制引用
王晓曼,张和子,朱守洋,王煜,赵梅..基于知识图谱的抗炎饮食智能问答系统的构建及应用效果研究[J].中国食物与营养,2026,32(8):143-151,9.基金项目
国家自然科学基金面上项目(项目编号:72474001) （项目编号:72474001）
安徽省自然科学基金面上项目(项目编号:230805MH285) （项目编号:230805MH285）
2025年度安徽医科大学护理学院研究生青苗培育项目(项目编号:Hlqm12025060) （项目编号:Hlqm12025060）
安徽省人工智能通识课程(项目编号:2024aijy098) （项目编号:2024aijy098）
安徽省高校自然科学类科研项目重大项目(项目编号:2025AHGXZK20021). （项目编号:2025AHGXZK20021）
