short-paper

D-record: Disaster Response and Relief Coordination Pipeline

Authors:

Hussein S. Al-Olimat,

Krishnaprasad Thirunarayan,

Valerie L. Shalin,

Srinivasan ParthasarathyAuthors Info & Claims

ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities

Pages 13 - 16

https://doi.org/10.1145/3284566.3284572

Published: 06 November 2018 Publication History

Abstract

We employ multi-modal data (i.e., unstructured text, gazetteers, and imagery) for location-centric demand/request matching in the context of disaster relief. After classifying the Need expressed in a tweet (the WHAT), we leverage OpenStreetMap to geolocate that Need on a computationally accessible map of the local terrain (the WHERE) populated with location features such as hospitals and housing. Further, our novel use of flood mapping based on satellite images of the affected area supports the elimination of candidate resources that are not accessible by road transportation. The resulting map-based visualization combines disaster-related tweets, imagery and pre-existing knowledge-base resources (gazetteers) to reduce decision-making latency and enhance resiliency by assisting individual decision-makers and first responders for relief effort coordination.

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Cited By

Shukla DAzad HAbhishek KShitharth S(2023)Disaster management ontology- an ontological approach to disaster management automationScientific Reports10.1038/s41598-023-34874-613:1Online publication date: 19-May-2023
https://doi.org/10.1038/s41598-023-34874-6
Phengsuwan JShah TThekkummal NWen ZSun RPullarkatt DThirugnanam HRamesh MMorgan GJames PRanjan R(2021)Use of Social Media Data in Disaster Management: A SurveyFuture Internet10.3390/fi1302004613:2(46)Online publication date: 12-Feb-2021
https://doi.org/10.3390/fi13020046
Hu XAl-Olimat HKersten JWiegmann MKlan FSun YFan H(2021)GazPNE: annotation-free deep learning for place name extraction from microblogs leveraging gazetteer and synthetic data by rulesInternational Journal of Geographical Information Science10.1080/13658816.2021.194750736:2(310-337)Online publication date: 7-Jul-2021
https://doi.org/10.1080/13658816.2021.1947507
Show More Cited By

Index Terms

D-record: Disaster Response and Relief Coordination Pipeline
1. Information systems
  1. Information systems applications
    1. Decision support systems

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Published In

cover image ACM Conferences

ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities

November 2018

51 pages

ISBN:9781450360395

DOI:10.1145/3284566

Editors:
Bandana Kar
Oak Ridge National Laboratory, TN, USA
,
Olufemi A. Omitaomu
Oak Ridge National Laboratory, TN, USA
,
Shima Mohebbi
University of Oklahoma, OK, USA
,
Guangtao Fu
University of Exeter, Exeter, England

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2018

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Short-paper
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Refereed limited

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SIGSPATIAL '18

Sponsor:

SIGSPATIAL

SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6, 2018

WA, Seattle, USA

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Overall Acceptance Rate 10 of 16 submissions, 63%

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Cited By

Shukla DAzad HAbhishek KShitharth S(2023)Disaster management ontology- an ontological approach to disaster management automationScientific Reports10.1038/s41598-023-34874-613:1Online publication date: 19-May-2023
https://doi.org/10.1038/s41598-023-34874-6
Phengsuwan JShah TThekkummal NWen ZSun RPullarkatt DThirugnanam HRamesh MMorgan GJames PRanjan R(2021)Use of Social Media Data in Disaster Management: A SurveyFuture Internet10.3390/fi1302004613:2(46)Online publication date: 12-Feb-2021
https://doi.org/10.3390/fi13020046
Hu XAl-Olimat HKersten JWiegmann MKlan FSun YFan H(2021)GazPNE: annotation-free deep learning for place name extraction from microblogs leveraging gazetteer and synthetic data by rulesInternational Journal of Geographical Information Science10.1080/13658816.2021.194750736:2(310-337)Online publication date: 7-Jul-2021
https://doi.org/10.1080/13658816.2021.1947507
Maneriker PVedula NAl-Olimat HLiang JEl-Khoury OKubatko ELiu DThirunarayan KShalin VSheth AParthasarathy SPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)A Pipeline for Disaster Response and Relief CoordinationProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331405(1337-1340)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331405

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