To solve the problems that the current amount of data on the related elements of bird migration is complex,and the traditional methods are not enough to efficiently process these data and accurately analyze the relationship between the related elements,a method for constructing the knowledge graph in the field of bird migration was proposed.The ontology model was designed,and the bird migration entity corpus was constructed using the bird migration data provided by the Yellow River Delta Institute of Ecological Conservation and High-Quality Development and a large amount of text information on the Internet.The entity recognition method of bird migration related elements based on RoBERTa-BiLSTM-CRF was designed for knowledge extraction.The text similarity technology was used for knowledge fusion,and the data were stored in the graph database Neo4j.Experimental results show that the proposed method is simple and efficient,and the constructed knowledge graph expands the related factor information in the field of bird migration,which is the application and exploration of knowledge graph technology in the field of ecological protection.
维普
万方数据