The transformative development of international Chinese language education has entered a new period, showing emerging development trends such as diversification, marketization, and digitalization. This study creates a unified classification system that links Chinese and English knowledge and complements each other based on the cross-language knowledge mapping of Chinese cultural knowledge. Additionally, a knowledge base for sharing cultural knowledge between Chinese and English is being constructed to provide strong support for information retrieval and machine translation. The data information is stored in plain text format for ontology and knowledge to make it easier to use and process teaching resources. The results show that in the teaching feedback, the average scores are all over 3, indicating that the teaching effect of the resource is positive overall, and the standard deviation values range from 0.1560 to 0.9812, indicating significant differences between different individuals. The above findings can be a valuable resource for constructing and implementing international Chinese language education network resources.