Abstract: Because the content of the whole cemented carbide milling cutter product data is complicated, multi-source heterogeneous, and diverse forms of expression, it is necessary to organize and manage its knowledge to achieve knowledge integration, sharing and reuse. Firstly, a thorough analysis is conducted on the knowledge encompassed within these cutters, encompassing structural classification information, cutting parameter details, the comprehensive lifecycle information of the product, and the intricate connections among these various data points. Secondly, by leveraging knowledge graph construction technology and ontology modeling theory, a robust knowledge ontology model is established, serving as the foundation for the construction of a knowledge graph. Finally, a comprehensive knowledge base tailored for solid carbide end mill is designed and implemented, validated through case studies. This knowledge base will significantly aid users in quickly grasping and accessing vital information, such as cutting usage and processing environments related to cutter products. Furthermore, it will assist process designers in selecting the most suitable tools for developing optimal processing solutions, thereby enhancing processing efficiency and ensuring superior processing quality.