Twitter Event Detection and Modeling with TEWS

Mykael Vigo 1 Zohra Bellahsene 1 Dino Ienco 2, 3, * Konstantin Todorov 1
* Corresponding author
1 FADO - Fuzziness, Alignments, Data & Ontologies
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01239194
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Submitted on : Monday, December 7, 2015 - 3:05:36 PM
Last modification on : Wednesday, September 18, 2019 - 4:04:04 PM
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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, 2015, Posters & Demonstrations Track. ⟨lirmm-01239194⟩

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