This document summarizes a presentation on semi-automatic tagging of images on Wikimedia Commons. It discusses student projects at Bern University of Applied Sciences that developed approaches using deep learning and custom models to tag images and link concepts to Wikidata while keeping a human in the loop. It also describes a current project between Wikimedia Sverige, Bern University of Applied Sciences, and SWITCH to implement a prototypical solution using the ISA Tool, Google Cloud Vision, and a new algorithm for tagging images on Wikimedia Commons semi-automatically based on metadata. The presentation reflects on lessons learned and outlines next steps to address issues, increase visibility, improve algorithms, and include structured data on Commons in SWITCH's Research Data Connectome.