安徽农业科学2024，Vol.52Issue(23)：220-225,6.DOI:10.3969/j.issn.0517-6611.2024.23.048
鸡常见疾病知识图谱构建及应用
Construction and Application of Knowledge Graph for Common Chicken Diseases
摘要
Abstract
The avian disease issue has always been a significant challenge in the poultry industry.Traditional disease control methods often limit themselves to a single disease or a specific domain,making it difficult to comprehensively and effectively monitor and control the interre-lationships and cross-infections among different diseases.Knowledge management technology needs improvement to address these issues.To tackle these challenges,we leveraged knowledge graph construction techniques to systematically integrate and model the knowledge of common chicken diseases.Employing large language models for knowledge extraction and disambiguation,this approach effectively managed 15 com-mon diseases,achieving efficient knowledge management.Additionally,the study used Neo4j graph database for knowledge graph storage and visualization.Lastly,we demonstrated the application of the knowledge graph of common chicken diseases in areas,such as chicken disease information retrieval and intelligent diagnostic assistance,providing robust technical support and decision references for the sustainable devel-opment of the poultry industry.关键词
鸡/常见疾病/知识图谱/大语言模型/Neo4jKey words
Chicken/Common diseases/Knowledge graph/Large language model/Neo4j分类
农业科技引用本文复制引用
张小敏,朱逸航,俞深,饶秀勤..鸡常见疾病知识图谱构建及应用[J].安徽农业科学,2024,52(23):220-225,6.基金项目
国家重点研发计划项目"乡村产业共性关键技术研发与集成应用"(2023YFD1600300). （2023YFD1600300）
