With the development of Chinese international education, the construction of Chinese culture teaching resources has become a priority. This study uses knowledge mapping technology to optimize Chinese culture teaching resources in Chinese international education and improve the usability and efficiency of teaching resources. The study adopts a top-down approach to construct a knowledge graph of Chinese culture teaching resources, covering named entity identification, relationship extraction and knowledge meta-extraction. BERT and BiLSTM techniques are used for feature extraction, text encoding, and conditional random field algorithm for knowledge meta-extraction and relationship mining. The experimental results show that the information utilization rate of intelligent retrieval of teaching resources using this knowledge graph is 82.67% and shows good adaptability in applications between different geographical regions. In addition, through comparative experiments, the proposed method in this study performs better than the traditional method in improving the utilization efficiency of teaching resources. This study proves the effectiveness and practicality of knowledge mapping in constructing Chinese culture teaching resources in Chinese international education.