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 | 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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