Germany's large stock of existing bridge infrastructure must be digitalized as BIM due to political requirements. Therefore, point cloud data can be used, and available open-source datasets and different approaches on semantic segmentation are being researched. To bridge the gap between theoretical research on point cloud data and manual inspection, a list of object-oriented classes for semantic segmentation is proposed. These classes are put into context with entities of the IFC schema and the German ASB-Ing. An application example with the proposed classes is shown using a manually segmented point cloud and an approach with the RANSAC Shape Detection algorithm.