Title :
Semantifying Twitter: The Influence Tracker Ontology
Author :
Razis, Gerasimos ; Anagnostopoulos, Ioannis
Author_Institution :
Comput. Sci. & Biomed. Inf. Dept, Univ. of Thessaly Lamia, Lamia, Greece
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.
Keywords :
ontologies (artificial intelligence); social networking (online); RDFized Twitter entities; SPARQL endpoint; Twitter account; Twitter social analytics; Twittersphere; advance semantic queries; influencetracker ontology; ontology schema; semantic graph; semantification provision; semantifying Twitter; social activity; Measurement; Ontologies; Resource description framework; Semantics; Twitter; Uniform resource locators; Semantics; Social Media; Twitter;
Conference_Titel :
Semantic and Social Media Adaptation and Personalization (SMAP), 2014 9th International Workshop on
Conference_Location :
Corfu
Print_ISBN :
978-1-4799-6813-8
DOI :
10.1109/SMAP.2014.23
