Ontology-Driven Semantic Interoperability for Discrete Manufacturing

The paper proposes ontologies for planning assembly production and mechanical processing to support decision-making in managing a discrete manufacturing process. To obtain a complete picture of the technological process, it is necessary to ensure the systematic integration of all relevant data from several systems and devices based on knowledge of the production area. Semantic interoperability is ensured based on the implementation of the same ontology in interacting systems. The ontologies were created in the open Protégé system to establish correspondence between product manufacturing concepts when processing a knowledge base by translating data from the MES (Manufacturing Execution System) and the RDF file (Resource Description Framework). The architecture of the system using the knowledge base is proposed. An application in C# is considered, which is included in the system, reads operational values of technology implementation parameters and forms new triplets in the knowledge base. The difference of the proposed approach is, firstly, the ontological integration of assembly production and mechanical processing and, secondly, the consideration of operationally changing data transferred from the DBMS to the KBMS to support decision-making. The time of information transfer to the knowledge base and to the database were obtained; a comparison of average recording times is given. The created application and the developed ontologies can become the basis for creating digital twins for the discrete production process