Automatic modeling for Chinese ontology of safety risk knowledge in subway construction projects

Abstract

Subway construction projects are usually large in scale, complex in technology, and long in cycle. These characteristics will make it difficult to share and reuse knowledge of safety risk in subway construction (SRSC). This paper develops a preliminary Chinese ontology automatic modeling tool (COAMT) to support the automatic acquisition of SRSC. First, SRSC is divided into 4 unified classes, namely, human behavior risks, equipment risks, environment risks, and organizational management risks, and the text information is used to collect knowledge. Then the information is preprocessed by natural language processing technology to obtain the asserted text information. Finally, the obtained assertions are added to the ontology with the support of cognitive operations, and the ontology is continuously expanded or modified to update the ontology knowledge base. In this paper, the COAMT can promote knowledge sharing and reuse between engineers and computer applications, and solve the problems of low efficiency and error-prone by manual modeling.