Using semantic tools to represent data extracted from mobile devices

In this paper, it is proposed a novel data model for Multimedia Social Networks, i.e. particular social media networks that combine information on users belonging to one or more social communities together with the content that is generated and used within the related environments. The focus of the work is the representation of data coming from mobile devices, that enrich the set of information related to the media shared on social communities. The proposed model relies on the hypergraph data structure to capture and represent in a simple way all the different kinds of relationships that are typical of social media networks, and in particular among users and multimedia content. Some user and multimedia ranking functions are also introduced to enable different retrieval applications. Finally, some experiments concerning effectiveness of the approach for supporting relevant information retrieval activities are reported and discussed. © 2018 IEEE.