Deep Learning-Based Knowledge Graph Construction for Three-Dimensional Design Specification of Power Plant Engineering

With the rapid development of natural language processing technology, the field of knowledge engineering is gradually advancing towards a novel phase of knowledge expression and orderly data storage. The purpose of this paper is to explore the construction method of knowledge graph of 3D design specification for power plant engineering based on deep learning, and to realize the extraction of key information in the design specification and the automatic construction of knowledge graph by integrating the deep learning models such as BERT, Bi-LSTM, CRF, and so on.