Automated emergence of a crisis situation model in crisis response based on tweets

Aurélie Montarnal; Shane Halse; Andrea Tapia; Sébastien Truptil; Frederick Benaben

doi:10.1007/978-3-319-65151-4_58

Automated emergence of a crisis situation model in crisis response based on tweets

Aurélie Montarnal, Shane Halse, Andrea Tapia, Sébastien Truptil, Frederick Benaben

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	IFIP Advances in Information and Communication Technology
Editors	Hamideh Afsarmanesh, Rosanna Fornasiero, Luis M. Camarinha-Matos
Publisher	Springer New York LLC
Pages	658-665
Number of pages	8
ISBN (Print)	9783319651507
DOIs	https://doi.org/10.1007/978-3-319-65151-4_58
State	Published - 2017
Event	18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017 - Vicenza, Italy Duration: Sep 18 2017 → Sep 20 2017

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	506
ISSN (Print)	1868-4238

Other

Other	18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017
Country	Italy
City	Vicenza
Period	9/18/17 → 9/20/17

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications
Information Systems and Management

Access to Document

10.1007/978-3-319-65151-4_58

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Montarnal, A., Halse, S., Tapia, A., Truptil, S., & Benaben, F. (2017). Automated emergence of a crisis situation model in crisis response based on tweets. In H. Afsarmanesh, R. Fornasiero, & L. M. Camarinha-Matos (Eds.), IFIP Advances in Information and Communication Technology (pp. 658-665). (IFIP Advances in Information and Communication Technology; Vol. 506). Springer New York LLC. https://doi.org/10.1007/978-3-319-65151-4_58

Montarnal, Aurélie ; Halse, Shane ; Tapia, Andrea ; Truptil, Sébastien ; Benaben, Frederick. / Automated emergence of a crisis situation model in crisis response based on tweets. IFIP Advances in Information and Communication Technology. editor / Hamideh Afsarmanesh ; Rosanna Fornasiero ; Luis M. Camarinha-Matos. Springer New York LLC, 2017. pp. 658-665 (IFIP Advances in Information and Communication Technology).

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title = "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.",

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Montarnal, A, Halse, S, Tapia, A, Truptil, S & Benaben, F 2017, Automated emergence of a crisis situation model in crisis response based on tweets. in H Afsarmanesh, R Fornasiero & LM Camarinha-Matos (eds), IFIP Advances in Information and Communication Technology. IFIP Advances in Information and Communication Technology, vol. 506, Springer New York LLC, pp. 658-665, 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, Vicenza, Italy, 9/18/17. https://doi.org/10.1007/978-3-319-65151-4_58

Automated emergence of a crisis situation model in crisis response based on tweets. / Montarnal, Aurélie; Halse, Shane; Tapia, Andrea; Truptil, Sébastien; Benaben, Frederick.

IFIP Advances in Information and Communication Technology. ed. / Hamideh Afsarmanesh; Rosanna Fornasiero; Luis M. Camarinha-Matos. Springer New York LLC, 2017. p. 658-665 (IFIP Advances in Information and Communication Technology; Vol. 506).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Montarnal A, Halse S, Tapia A, Truptil S, Benaben F. Automated emergence of a crisis situation model in crisis response based on tweets. In Afsarmanesh H, Fornasiero R, Camarinha-Matos LM, editors, IFIP Advances in Information and Communication Technology. Springer New York LLC. 2017. p. 658-665. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-65151-4_58