Semantifying Twitter: the influenceTracker ontology [article]

Gerasimos Razis, Ioannis Anagnostopoulos
2014 arXiv   pre-print
In this paper, we propose an ontology schema towards semantification provision of Twitter social analytics. The ontology is deployed over a publicly available service that measures how influential a Twitter account is, by combining its social activity and interaction over Twittersphere. Apart from influential quantity and quality measures, the service provides a SPARQL endpoint where users can perform advance semantic queries through the RDFized Twitter entities (mentions, replies, hashtags, photos, URLs) over the semantic graph.
arXiv:1409.3771v1 fatcat:sgcnsh6lazgfpnnasbl5baphtu