Semantic enrichment of places with VGI sources: a knowledge based approach

We propose a categorization algorithm for text content description such as tags for images from social media or crowd sourcing services, to identify places characteristics. The algorithm is based on a spatial coverage and a multi-facets categorization. We describe how it can be applied to individually process images from Flickr in order to extract geo-spatial knowledge. It is particularly dedicated for places with a small number of photos. The extraction process is done using categorization rules based on geographic and terminological knowledge resources.