Twitter Event Detection and Modeling with TEWS - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Conference Poster Year : 2015

Twitter Event Detection and Modeling with TEWS

Une méthode de detection et modélisation d'événements des messages sur Twitter

Abstract

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.

Domains

Information Retrieval [cs.IR] Machine Learning [cs.LG] Databases [cs.DB]
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01239194

Submitted on : Monday, December 7, 2015-3:05:36 PM

Last modification on : Sunday, March 17, 2024-11:09:12 AM

Long-term archiving on : Saturday, April 29, 2017-9:03:51 AM

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lirmm-01239194 , version 1 (07-12-2015)

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Mykael Vigo, Zohra Bellahsene, Dino Ienco, Konstantin Todorov. Twitter Event Detection and Modeling with TEWS. ISWC: International Semantic Web Conference, Oct 2015, Bethlehem, PA, United States. , 14th International Semantic Web Conference, pp.4, 2015, Posters & Demonstrations Track. ⟨lirmm-01239194⟩

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