Reputation evaluation of georeferenced data for crowd-sensed applications

Volunteered Geographic Information (VGI) is a process where individuals, supported by enabling technologies, behave like
physicalsensorstoharvestgeoreferencedcontentintheirsurroundings. Thevalueofthis, typicallyheterogeneous, contenthasbeen
recognized by both researchers and organizations. However, in order to be fruitfully used in various VGI-based types of application
reliability and quality of particular VGI content (i.e., Points of Interest) have to be assessed. This evaluation can be based on
reputation scores that summarize users’ experiences with the specific content. Following this direction, our contribution provides,
primarily, a new comprehensive model and a multi-layer architecture for reputation evaluation aimed to assess quality of VGI
content. Secondly, we demonstrate the relevance of adopting such a framework through an applicative scenario for recommending
touristic itineraries.