With the development of manufacturing system，the system composition is becoming more and more complex，and thus the unified management of data is facing challenges such as data content missing，slow update，and inconsistent reference，which may lead to the problems of information coverage and information bias.To cope with the challenges，a knowledge graph （KG） management paradigm in the context of intelligent manufacturing is firstly defined.Then，a top-down and bottom-up approach is proposed to construct the domain KG for multi-source heterogeneous data，and the natural language processing （NLP） technology is used to extract entities and achieve the normalization and standardization of the multi-source heterogeneous data.After that，the results of data processing，graph construction，and information query combined with a large language model are demonstrated through examples.Finally，the directions of further improving management intelligence based on KGs are discussed.