Reputation evaluation of georeferenced data for crowd-sensed applications

摘要

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