The fourth international workshop on social web for disaster management (SWDM 2016)

Carlos Castillo, Fernando Diaz, Yu Ru Lin, Jie Yin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The proliferation of social media platforms together with the wide adoption of smartphone devices has transformed how we communicate and share news. During large-scale emergencies, such as natural disasters or armed attacks, victims, responders, and volunteers increasingly use social media to post situation updates and to request and offer help. The use of social media for emergency and disaster response has been a prominent application of information and knowledge management techniques in recent years. There are a number of challenges associated with near real-time processing of vast volumes of information in a way that makes sense for people directly affected, for volunteer organizations, and for official emergency response agencies. As massive amount of messages posted by users are transformed into semi-structured records via information extraction and natural language processing techniques, there is a growing need for developing advanced techniques to aggregate this large-scale data to gain an understanding of the "big picture" of an emergency, and to detect and predict how a disaster could develop. This workshop seeks to provide a platform for the exchange of ideas, identification of important problems, and discovery of possible synergies. It will enable interesting discussions and encouraged collaboration between various disciplines, and information and knowledge management approaches is the core of this workshop.

Original languageEnglish
Title of host publicationCIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Pages2503-2504
Number of pages2
Volume24-28-October-2016
ISBN (Electronic)9781450340731
DOIs
Publication statusPublished - 24 Oct 2016
Externally publishedYes
Event25th ACM International Conference on Information and Knowledge Management, CIKM 2016 - Indianapolis, United States
Duration: 24 Oct 201628 Oct 2016

Other

Other25th ACM International Conference on Information and Knowledge Management, CIKM 2016
CountryUnited States
CityIndianapolis
Period24/10/1628/10/16

Fingerprint

Social media
Disaster management
World Wide Web
Emergency
Information and knowledge management
Emergency response
Volunteers
News
Disaster
Natural disasters
Proliferation
Attack
Synergy
Disaster response
Information extraction
Natural language processing
Management techniques

Keywords

  • Disaster relief
  • Emergency management
  • Social media

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Decision Sciences(all)

Cite this

Castillo, C., Diaz, F., Lin, Y. R., & Yin, J. (2016). The fourth international workshop on social web for disaster management (SWDM 2016). In CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management (Vol. 24-28-October-2016, pp. 2503-2504). Association for Computing Machinery. https://doi.org/10.1145/2983323.2988535

The fourth international workshop on social web for disaster management (SWDM 2016). / Castillo, Carlos; Diaz, Fernando; Lin, Yu Ru; Yin, Jie.

CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Vol. 24-28-October-2016 Association for Computing Machinery, 2016. p. 2503-2504.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Castillo, C, Diaz, F, Lin, YR & Yin, J 2016, The fourth international workshop on social web for disaster management (SWDM 2016). in CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. vol. 24-28-October-2016, Association for Computing Machinery, pp. 2503-2504, 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, United States, 24/10/16. https://doi.org/10.1145/2983323.2988535
Castillo C, Diaz F, Lin YR, Yin J. The fourth international workshop on social web for disaster management (SWDM 2016). In CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Vol. 24-28-October-2016. Association for Computing Machinery. 2016. p. 2503-2504 https://doi.org/10.1145/2983323.2988535
Castillo, Carlos ; Diaz, Fernando ; Lin, Yu Ru ; Yin, Jie. / The fourth international workshop on social web for disaster management (SWDM 2016). CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Vol. 24-28-October-2016 Association for Computing Machinery, 2016. pp. 2503-2504
@inproceedings{481c5414cdda4093b35a8aa255fdd0a9,
title = "The fourth international workshop on social web for disaster management (SWDM 2016)",
abstract = "The proliferation of social media platforms together with the wide adoption of smartphone devices has transformed how we communicate and share news. During large-scale emergencies, such as natural disasters or armed attacks, victims, responders, and volunteers increasingly use social media to post situation updates and to request and offer help. The use of social media for emergency and disaster response has been a prominent application of information and knowledge management techniques in recent years. There are a number of challenges associated with near real-time processing of vast volumes of information in a way that makes sense for people directly affected, for volunteer organizations, and for official emergency response agencies. As massive amount of messages posted by users are transformed into semi-structured records via information extraction and natural language processing techniques, there is a growing need for developing advanced techniques to aggregate this large-scale data to gain an understanding of the {"}big picture{"} of an emergency, and to detect and predict how a disaster could develop. This workshop seeks to provide a platform for the exchange of ideas, identification of important problems, and discovery of possible synergies. It will enable interesting discussions and encouraged collaboration between various disciplines, and information and knowledge management approaches is the core of this workshop.",
keywords = "Disaster relief, Emergency management, Social media",
author = "Carlos Castillo and Fernando Diaz and Lin, {Yu Ru} and Jie Yin",
year = "2016",
month = "10",
day = "24",
doi = "10.1145/2983323.2988535",
language = "English",
volume = "24-28-October-2016",
pages = "2503--2504",
booktitle = "CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management",
publisher = "Association for Computing Machinery",

}

TY - GEN

T1 - The fourth international workshop on social web for disaster management (SWDM 2016)

AU - Castillo, Carlos

AU - Diaz, Fernando

AU - Lin, Yu Ru

AU - Yin, Jie

PY - 2016/10/24

Y1 - 2016/10/24

N2 - The proliferation of social media platforms together with the wide adoption of smartphone devices has transformed how we communicate and share news. During large-scale emergencies, such as natural disasters or armed attacks, victims, responders, and volunteers increasingly use social media to post situation updates and to request and offer help. The use of social media for emergency and disaster response has been a prominent application of information and knowledge management techniques in recent years. There are a number of challenges associated with near real-time processing of vast volumes of information in a way that makes sense for people directly affected, for volunteer organizations, and for official emergency response agencies. As massive amount of messages posted by users are transformed into semi-structured records via information extraction and natural language processing techniques, there is a growing need for developing advanced techniques to aggregate this large-scale data to gain an understanding of the "big picture" of an emergency, and to detect and predict how a disaster could develop. This workshop seeks to provide a platform for the exchange of ideas, identification of important problems, and discovery of possible synergies. It will enable interesting discussions and encouraged collaboration between various disciplines, and information and knowledge management approaches is the core of this workshop.

AB - The proliferation of social media platforms together with the wide adoption of smartphone devices has transformed how we communicate and share news. During large-scale emergencies, such as natural disasters or armed attacks, victims, responders, and volunteers increasingly use social media to post situation updates and to request and offer help. The use of social media for emergency and disaster response has been a prominent application of information and knowledge management techniques in recent years. There are a number of challenges associated with near real-time processing of vast volumes of information in a way that makes sense for people directly affected, for volunteer organizations, and for official emergency response agencies. As massive amount of messages posted by users are transformed into semi-structured records via information extraction and natural language processing techniques, there is a growing need for developing advanced techniques to aggregate this large-scale data to gain an understanding of the "big picture" of an emergency, and to detect and predict how a disaster could develop. This workshop seeks to provide a platform for the exchange of ideas, identification of important problems, and discovery of possible synergies. It will enable interesting discussions and encouraged collaboration between various disciplines, and information and knowledge management approaches is the core of this workshop.

KW - Disaster relief

KW - Emergency management

KW - Social media

UR - http://www.scopus.com/inward/record.url?scp=84996538104&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84996538104&partnerID=8YFLogxK

U2 - 10.1145/2983323.2988535

DO - 10.1145/2983323.2988535

M3 - Conference contribution

AN - SCOPUS:84996538104

VL - 24-28-October-2016

SP - 2503

EP - 2504

BT - CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management

PB - Association for Computing Machinery

ER -