Research on Knowledge Graph Algorithm Based on Hierarchical Semantic Perception

With the increasing use of the Internet, the popularity of iot devices, the rapid growth of data from enterprises and social media, and the rapid development of data storage technology, the world has reached 400 to 500 million GB of data generated every day. As a powerful knowledge management and application tool, knowledge graph emerges. It plays an important role in the field of modern information technology. Semantic perception is a relatively complex research field in knowledge graph research, which involves many technologies. This paper introduces a variety of representation Spaces, and according to the problems of skew symmetry and inference inaccuracy, proposes a knowledge graph algorithm based on hierarchical semantic perception, which greatly improves the inference ability of the model.