In this presentation we describe the data processing workflow and querying approach of an online, customer-facing application for the interactive sizing of automation solutions from Festo, a global leader in factory automation. The semantic application uses knowledge graph (KG) technologies to present customers a ranked selection of proper solutions out of millions of electric drive trains from given parameters such as working range, moving mass, travel time, etc.
The talk will provide insights to the KG relevant parts of the productive application such as: