Entity Relationship Extraction Based on Knowledge Graph Knowledge

In this paper, the ontology design of the schema layer of the knowledge graph is carried out, and the design of the RDF database storage scheme based on the existing knowledge graph is completed. Meanwhile, the named entity recognition and relationship extraction techniques are used to identify the entity pairs from the novel corpus through the idea of remote supervision and extract the knowledge triads from the sentences and add them to the knowledge graph to finally complete the construction of the knowledge graph of novel character relationships.