An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application

In the context of Industry 4.0, the paradigm of manufacturing has shifted from autonomous to intelligent by integrating advanced communication technologies. However, to enable manufacturers to respond quickly and accurately to the complex environment of manufacturing, knowledge of manufacturing required suitable representation. Ontology is a proper solution for knowledge representation, which is used to describe concepts and attributes in a specified domain. This paper proposes an ontology-based industrial model and significantly improves the interoperability of the models. Firstly, we conceptualize the attribute of the industrial models by providing concept and their properties in the schema layer of the ontology. Then, according to the data collected from the manufacturing system, several instances are created and stored in the data layer. In addition, we present a prototype distributed computing application. The result suggests that the ontology can optimize the management of industrial models and achieve interoperability between models.