Construction Method of Knowledge Graph in Textile Field Facing Industrial Internet

In the industrial Internet environment in the textile field, the structure and standardization of data is the basis for the configuration optimization of network manufacturing resources. In combination with the characteristics of the textile industry data, we propose a method for knowledge map construction method for the textile field facing industrial Internet. This method is guided by Ontology theory, and the natural language processing technology is integrated with artificial, which is fully integrated with a wide range of knowledge, complex structure and poor demultiplexing. Compared with the construction method of traditional knowledge map, the accuracy and coverage of knowledge are improved. Finally, its future application scenarios and support for industrial Internet manufacturing are analyzed.