Confirm: Building Semantic Models and Knowledge Graphs for Intelligent Smart Manufacturing Applications

A defining feature of Industry 4.0 factories is the equipping of assets and machinery with sensors for effective monitoring of the production line resources. This comprehensive monitoring allows for the early identification of potential failures, affecting the performance, energy consumption, and reliability of the manufacturing processes put in place in smart manufacturing environment to produce products for intelligent applications. Proactive decisions can then be made to prevent production downtime. However, interpreting the data collected by the sensors is a complex task due to the need to integrate and process heterogeneous data from various sources, each produced in different formats. The building of semantic models and knowledge graphs, including ontologies, have emerged as a vital solutions to this problem.