In exploring the deep context of ancient agricultural book knowledge,this paper develops an innovative method of ancient agricultural book translation and knowledge graph construction from an in-terdisciplinary perspective.This method not only helps to deepen the understanding of ancient agricultural books,but also provides new ideas for the cultural inheritance and modern application of ancient agricultural books.First of all,by training and fine-tuning the machine translation model from ancient Chinese to modem Chinese,we complete the translation of ancient agricultural books and build a parallel corpus of ancient agri-cultural books to assist manual tagging and the construction of knowledge graph of ancient agricultural books.Then,this paper systematically combs and organizes the unstructured knowledge of ancient agricultur-al books through data mining techniques such as knowledge tagging,entity extraction,relationship extraction and so on.Finally,the knowledge graph constructed is not only the reproduction of the knowledge of ancient agricultural books,but also a tool for in-depth exploration and application of this knowledge.The results re-veal the effectiveness of the proposed methods in promoting the understanding,application and dissemina-tion of ancient agricultural book knowledge,as well as the importance of interdisciplinary methods in the study of ancient agricultural books.
ancient agricultural booksmachine translationknowledge labelingknowledge graph
NETL
NSTL
万方数据
