There is a tremendous push to introduce autonomous vehicles. Politicians are offering trials on public roads, companies announce activities in this area in order not to be seen as backwards.
Mixed in with the topic of autonomous vehicles and their challenges are networked vehicles, electric vehicles and expected changes to the usage pattern like moving from car-ownership to shared economies.
Labels in the Web of Data are the key element for humans to access the data. In the following, we analyze seven diverse datasets, from the web of data, a collaborative knowledge base, open governmental and GLAM data. We gain an insight into the current state of labels and multilinguality on the web of data. We analyze the datasets based on a set of metrics including completeness, unambiguity, multilinguality, labeled object usage, and monolingual islands.