Construction of Chinese Sports Knowledge Graph Based on Neo4j

With the development of the times, the new generation of technology represented by sports combined with big data and artificial intelligence has been widely used in the field of sports. Although technological innovation and popularization are driving the development of sports and moving forward steadily, currently the Internet has many sports websites and sports news websites, but how to conduct unified management and accurate query of sports knowledge data information that is widely distributed and complex in the sports field, Satisfying more people’s search queries to obtain corresponding sports knowledge, which is still a difficult problem to solve. Therefore, the knowledge graph technology is innovatively introduced into the sports field, and various types of data information and their relationships are intuitively described in the form of graphs to optimize the accuracy and efficiency of information query. Constructing Chinese sports knowledge graphs based on knowledge of sports disciplines, using graph database Neo4j to improve the storage of knowledge graphs, and presenting an accurate and fast intelligent query method, has made a beneficial exploration for the construction and application of knowledge graphs in the sports field.