A Crowdsourcing-Based Framework for Improving Geo-spatial Open Data

Nowadays, more and more people rely on freely available user-generated spatial content, known as Volunteered Geographic Information (VGI). Therefore, spatial data creation is no more exclusively in the hands of professionals and Linked Open Data (LOD) techniques have a role in promoting such online and freely accessible spatial information. However, the volume of VGI data is constantly growing so evaluating its quality is a basic need, especially in urban environments where Points of Interest change frequently and human feedbacks are crucial to get frequent updates of their descriptions. In this context, we propose a crowd sourcing-based framework, relying on linked data principles and devised to collect, organize and rank user-generated content in order to improve accuracy and completeness of geo-spatial LOD. To this purpose, metrics have been defined for evaluating both users and contents.