Automated construction technology of the government agencies knowledge graph based on the topical crawler

Government agencies are the skeleton of the knowledge graph in the field of government affairs; it is the starting and ending point of various government affairs. This paper proposes an automated construction technology of the government agencies knowledge graph based on the topical crawler, which collects government and department information from relevant government websites and constructs the knowledge graph automatically. Sampling verification shows that the knowledge precision of this government agencies knowledge graph exceeds 96%, and it covers nearly 99% of municipal government information and more than 92% of government department information across the country. Furthermore, through the tracking of government websites, the knowledge graph of government agencies can be automatically updated. As far as our understanding is concerned, this is the first time to explore the technology of automated construction of knowledge graph in the related fields of government affairs combined with the collection system of the web crawler.