Research on the application of data mining technology in the construction of knowledge graph

The current human society is entering an era of artificial intelligence that integrates data-driven and knowledge-driven approaches. Knowledge graph, a technique that has gained significant attention in recent years within the field of artificial intelligence, utilizes a graphical structure to represent knowledge and model the relationships between various entities in the world. The essence of constructing a knowledge graph lies in efficiently and accurately uncovering the associations among different entities. Data mining, which involves extracting potentially valuable information and knowledge from large datasets, provides technical support for building knowledge graphs. This paper primarily discusses the application of data mining techniques in constructing knowledge graphs, proposes implementation pathways for these techniques at various stages of knowledge graph construction, and offers support for creating high-quality knowledge graphs.