Classification of OSM data with the help of intrinsic examinations of specific characteristics
VGI data like in the open source project OpenStreetMap (OSM) are often discussed regarding the quality of the data. This thesis should help to identify features that allow a better and ideally automatic classification of OSM elements. By this, the quality of the data can be improved as with a higher plausibility the correctness of the data can be checked. Intrinsic examinations will be executed, regarding e.g. the tagging and geometry of the elements. A classification is done based on the similarity of the elements. The results of these processed OSM data will be presented to users and their feedback delivers information about the plausibility of correctness.