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.
@article{arxiv.1409.3771,
title = {Semantifying Twitter: the influenceTracker ontology},
author = {Gerasimos Razis and Ioannis Anagnostopoulos},
journal= {arXiv preprint arXiv:1409.3771},
year = {2014}
}
Comments
arXiv admin note: text overlap with arXiv:1404.5239