Twitter Event Detection and Modeling with TEWS

Mykael Vigo; Zohra Bellahsene; Dino Ienco; Konstantin Todorov

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Twitter Event Detection and Modeling with TEWS

Conference poster

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Twitter Event Detection and Modeling with TEWS

Mykael Vigo, Zohra Bellahsene, Dino Ienco and Konstantin Todorov

Posters & Demonstrations Track

ISWC: International Semantic Web Conference (Bethlehem, PA, United States, 11/10/2015–15/10/2015)

2015

Abstract

Linked Data

Event Extraction

RDF Modeling

Twitter

SEMANTIC WEB

MODELISATION

WEB SEMANTIQUE

TRAITEMENT AUTOMATIQUE DU LANGAGE NATUREL

CAPACITE DE STOCKAGE

This paper introduces TEWS —Twitter Events on the Semantic Web, pronounced like " news " —a semantic web tool for detection and representation of events taking as an input the social stream Twitter. The tool assists the user throughout a complete processing chain, starting from the detection of events on Twitter, their modeling and representation following the semantic web principles, to their storing in an RDF knowledge base that can be further published on the Web of Data.

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Title: Twitter Event Detection and Modeling with TEWS
Creators - without role: Mykael Vigo - WEB Architecture x Semantic WEB x WEB of Data
Zohra Bellahsene - WEB Architecture x Semantic WEB x WEB of Data
Dino Ienco - Territoires, Environnement, Télédétection et Information Spatiale
Konstantin Todorov - WEB Architecture x Semantic WEB x WEB of Data
Conference: ISWC: International Semantic Web Conference (Bethlehem, PA, United States, 11/10/2015–15/10/2015)
Series: Posters & Demonstrations Track
Identifiers: 9936381409311
Academic Unit: Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Language: English
Resource Type: Conference poster
Local Fields: lirmm-01239194