Most existing records of Tang Dynasty clothing are scattered and largely unstructured, with a massive volume of data. To conduct an in-depth analysis of the symbolic system of Tang Dynasty clothing, this paper introduces knowledge graphs and proposes a knowledge graph construction method based on BiLSTM-CRF named entity recognition. The BiLSTM-CRF model is used for entity extraction, and BiLSTM is combined with a two-layer attention mechanism for relation extraction. The extracted knowledge is stored in the Neo4j graph database to construct a knowledge graph of Tang Dynasty clothing symbols. Based on the knowledge graph, this study analyzes the evolution and characteristic changes of Tang Dynasty clothing cultural symbols from multiple aspects, including clothing style, color, and openness. The overall style of Tang Dynasty clothing was characterized by splendor, elegance, and grandeur, with clothing colors deeply influenced by the “Five Colors Theory.” The evolution of clothing openness is closely related to the prosperity of the Tang Dynasty. During the prosperous Tang period, clothing openness reached its peak, while it significantly decreased during the late Tang period, gradually becoming more restrained.
