Construction of a karst knowledge discovery system based on knowledge graph

The karst field has accumulated a large number of outcome resources through geological surveys and scientific research. The relationship between resources is more complex，and the traditional keyword retrieval model cannot meet the needs of users to acquire knowledge. In order to realize data retrieval at the knowledge level，data mining technology is used to extract and calculate karst entity relations. With karst terminology as the core，a karst knowledge discovery system is constructed based on the knowledge graph. Intelligent semantic search for and related navigation to karst geological results，journals，papers，books，standards，projects，experts and other entities are realized to maximize the potential of data mining. It provides users with precise knowledge services and improves the user experience.