Construction and Application of Knowledge Graph for Common Chicken Diseases
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.
ChickenCommon diseasesKnowledge graphLarge language modelNeo4j
国家科技期刊平台
NSTL
万方数据
