Automated Emergence of a Crisis Situation Model in Crisis Response Based on Tweets

Abstract : During a crisis, being able to understand quickly the situation on-site is crucial for the responders to take relevant decisions together. Social media, in particular Twitter, have proved to be a means for rapidly getting information from the field. However, the deluge of data is heterogeneous in many ways (location, trust, content, vocabulary, etc.), and getting a model of the crisis situation still requires laborious human actions. In addition, depending on which kind of information is mined from them, tweets have to be handle one-by-one (e.g. find victims), or as a whole - amount of tweets - (e.g. occurence of an event). This paper proposes a framework for automatically extracting, interpreting and aggregating streams of tweets to characterize crisis situations. It is based on a specific metamodel that determines the different concepts required to model a crisis situation.
Type de document :
Communication dans un congrès
Luis M. Camarinha-Matos; Hamideh Afsarmanesh; Rosanna Fornasiero. 18th Working Conference on Virtual Enterprises (PROVE), Sep 2017, Vicenza, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-506, pp.658-665, 2017, Collaboration in a Data-Rich World. 〈10.1007/978-3-319-65151-4_58 〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01674873
Contributeur : Hal Ifip <>
Soumis le : mercredi 3 janvier 2018 - 17:20:47
Dernière modification le : jeudi 4 octobre 2018 - 16:24:06
Document(s) archivé(s) le : jeudi 3 mai 2018 - 08:31:04

Fichier

 Accès restreint
Fichier visible le : 2020-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Aurelie Montarnal, Shane Halse, Andrea Tapia, Sébastien Truptil, Frederick Benaben. Automated Emergence of a Crisis Situation Model in Crisis Response Based on Tweets. Luis M. Camarinha-Matos; Hamideh Afsarmanesh; Rosanna Fornasiero. 18th Working Conference on Virtual Enterprises (PROVE), Sep 2017, Vicenza, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-506, pp.658-665, 2017, Collaboration in a Data-Rich World. 〈10.1007/978-3-319-65151-4_58 〉. 〈hal-01674873〉

Partager

Métriques

Consultations de la notice

192