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Semantifying Twitter: the influenceTracker ontology

2014/09/12 by Gerasimos Razis, Ioannis Anagnostopoulos, Razis, Gerasimos +1 · 1 citation
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI) #cs.IR #cs.SI

paper · pdf · doi:10.48550/arxiv.1409.3771

arXiv admin note: text overlap with arXiv:1404.5239

arxiv created 2014/09/12 · arxiv updated 2014/09/15

Abstract

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.

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