Ontology-based assembly process modeling with element extraction and reasoning

Abstract

In the context of collaborative manufacturing and cloud manufacturing, an ontology-based semantic modeling method of assembly process is studied to solve the prob-lem of non-standard assembly process formulation. Firstly, assembly process is divided into worksteps according to the assembly topology relationships, which correspond to the concept of event ontology as basic units. Secondly, natural language processing technology is used to process workstep contents in assembly documents, further realize the transformation from human language to machine language, which constitutes a significant step of the extraction of workstep event elements. In addition, the workstep event elements is supplemented with ontology reasoning of assembly resources without directly specifying the relatedness with the worksteps as well. Finally, a case study is illustrated to show the entire process of element extraction and reasoning of assembly worksteps, indicating the availability and feasibility of method proposed.