Semantifying Twitter: The Influence Tracker Ontology

Author

Razis, Gerasimos ; Anagnostopoulos, Ioannis

Author_Institution

Comput. Sci. & Biomed. Inf. Dept, Univ. of Thessaly Lamia, Lamia, Greece

fYear

2014

fDate

6-7 Nov. 2014

Firstpage

98

Lastpage

103

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SMAP.2014.23

Filename

6978961