Research on Diagnosis Technology of Aquaculture Diseases Based on Knowledge Graph
Diseases in aquaculture are an important factor of affecting the efficiency of aquaculture.Due to the disorderly text data of aquaculture diseases,it is difficult to quickly and accurately locate the causes of diseases,which delays diagnosis and treatment,leading to a decrease in the quality and yield of aquaculture.To solve the above problems,the working principles and model features of knowledge graph are deeply studied,knowledge graph technology is used to implement the overall design of aquaculture disease di-agnosis,establish a corpus of aquaculture diseases,introduce the H-BIO annotation strategy,complete the annotation scheme design,improve the construction of the BiLSTM model,extract the entity relationships and train aquaculture disease models,complete the vi-sualization design of aquaculture disease knowledge graphs,and conduct the experiments on joint extraction of aquaculture diseases.Experimental results show that the improved BiLSTM model based on knowledge graph has good performance and high reliability in entity relationship extraction,effectively improving the accuracy of joint extraction of aquatic diseases.The visual knowledge graph of aquatic disease is constructed,which can help operators quickly and accurately diagnose and treat aquatic diseases.It plays a very im-portant role in improving the efficiency of aquaculture.
aquaculturedisease diagnosisknowledge graphH-BIO annotationBiLSTM model
万方数据
维普
