Semantifying twitter: The influence tracker ontology

dc.creator	Razis, G.	en
dc.creator	Anagnostopoulos, I.	en
dc.date.accessioned	2015-11-23T10:46:23Z
dc.date.available	2015-11-23T10:46:23Z
dc.date.issued	2014
dc.identifier	10.1109/SMAP.2014.23
dc.identifier.isbn	9781479968138
dc.identifier.uri	http://hdl.handle.net/11615/32610
dc.description.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 Twitter sphere. 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, hash tags, photos, URLs) over the semantic graph. © 2014 IEEE.	en
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84920625302&partnerID=40&md5=2468f8edfeda847ee28be93cc8c2e8e3
dc.subject	Semantics	en
dc.subject	Social Media	en
dc.subject	Twitter	en
dc.subject	Quality measures	en
dc.subject	Semantic graphs	en
dc.subject	Semantic query	en
dc.subject	Social activities	en
dc.subject	Social networking (online)	en
dc.title	Semantifying twitter: The influence tracker ontology	en
dc.type	conferenceItem	en

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