Abstract

In order to solve the problem of data management in securities field, a method of constructing knowledge graph in securities field is proposed. According to the definition of knowledge graph and the related technology, combined with the characteristics of securities information, this paper proposes a method for constructing the knowledge graph of securities information. This method uses Scrapy data crawling framework for entity extraction, combined with BiLSTM-CRF model and dependency syntax analysis to perform named entity recongnition and relationship extraction, and visualizes the knowledge graph based on Neo4j engine. The experiment result shows that the method can construct knowledge graph quickly and effectively in the securities field, and can obtain useful information from the massive data in the securities field.

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