Semi-automatic Construction of Financial Knowledge Graph Based on Web

Web pages about finance and economics on the Internet contain vast amounts of data with descriptions of various entities and their relationships. These HTML pages contain semi-structured as well as structured data, which can construct graphable knowledge acquisition. This paper proposes a semi-automatic construction method of financial knowledge graph based on Web. Populated template is used to construct the bait template for the data source. Knowledge graph is constructed by extracting triples data from multiple data sources by enticing templates. In addition, this paper designs an application system to build the knowledge graph for the financial field, which can significantly reduce the human participation and realize the construction of the knowledge graph quickly.