D-Record: Disaster Response and Relief Coordination Pipeline

Shruti Kar; Hussein S. Al-Olimat; Krishnaprasad Thirunarayan; Valerie L. Shalin; Amit Sheth; Srinivasan Parthasarathy

doi:10.1145/3284566.3284572

D-Record: Disaster Response and Relief Coordination Pipeline

Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth, Srinivasan Parthasarathy

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

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.

Original language	American English
Title of host publication	ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities
Editors	Bandana Kar, Olufemi A. Omitaomu, Shima Mohebbi, Guangtao Fu
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	13-16
ISBN (Print)	978-1-4503-6039-5
DOIs	https://doi.org/10.1145/3284566.3284572
State	Published - Nov 2018
Event	1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities - Duration: Nov 6 2018 → Nov 6 2018 https://dl.acm.org/doi/proceedings/10.1145/3284566

Conference

Conference	1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities
Period	11/6/18 → 11/6/18
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3284566

Keywords

Disaster relief
Flood mapping
Location-centric processing
Need matching

Disciplines

Computer Engineering
Electrical and Computer Engineering

Access to Document

10.1145/3284566.3284572License: CC BY

Cite this

Kar, S., Al-Olimat, H. S., Thirunarayan, K., Shalin, V. L., Sheth, A., & Parthasarathy, S. (2018). D-Record: Disaster Response and Relief Coordination Pipeline. In B. Kar, O. A. Omitaomu, S. Mohebbi, & G. Fu (Eds.), ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities (pp. 13-16). Association for Computing Machinery. https://doi.org/10.1145/3284566.3284572

D-Record: Disaster Response and Relief Coordination Pipeline. / Kar, Shruti; Al-Olimat, Hussein S.; Thirunarayan, Krishnaprasad et al.
ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities. ed. / Bandana Kar; Olufemi A. Omitaomu; Shima Mohebbi; Guangtao Fu. New York: Association for Computing Machinery, 2018. p. 13-16.

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

Kar, S, Al-Olimat, HS, Thirunarayan, K , Shalin, VL, Sheth, A & Parthasarathy, S 2018, D-Record: Disaster Response and Relief Coordination Pipeline. in B Kar, OA Omitaomu, S Mohebbi & G Fu (eds), ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities. Association for Computing Machinery, New York, pp. 13-16, 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities, 11/6/18. https://doi.org/10.1145/3284566.3284572

Kar S, Al-Olimat HS, Thirunarayan K , Shalin VL, Sheth A, Parthasarathy S. D-Record: Disaster Response and Relief Coordination Pipeline. In Kar B, Omitaomu OA, Mohebbi S, Fu G, editors, ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities. New York: Association for Computing Machinery. 2018. p. 13-16 doi: 10.1145/3284566.3284572

Kar, Shruti ; Al-Olimat, Hussein S. ; Thirunarayan, Krishnaprasad et al. / D-Record: Disaster Response and Relief Coordination Pipeline. ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities. editor / Bandana Kar ; Olufemi A. Omitaomu ; Shima Mohebbi ; Guangtao Fu. New York : Association for Computing Machinery, 2018. pp. 13-16

@inproceedings{50520b2e71cf407cb3d9229f98a41ba4,

title = "D-Record: Disaster Response and Relief Coordination Pipeline",

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.",

keywords = "Disaster relief, Flood mapping, Location-centric processing, Need matching",

author = "Shruti Kar and Al-Olimat, {Hussein S.} and Krishnaprasad Thirunarayan and Shalin, {Valerie L.} and Amit Sheth and Srinivasan Parthasarathy",

year = "2018",

month = nov,

doi = "10.1145/3284566.3284572",

language = "American English",

isbn = "978-1-4503-6039-5",

pages = "13--16",

editor = "Bandana Kar and Omitaomu, {Olufemi A.} and Shima Mohebbi and Guangtao Fu",

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

publisher = "Association for Computing Machinery",

note = "1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities ; Conference date: 06-11-2018 Through 06-11-2018",

url = "https://dl.acm.org/doi/proceedings/10.1145/3284566",

}

TY - GEN

T1 - D-Record: Disaster Response and Relief Coordination Pipeline

AU - Kar, Shruti

AU - Al-Olimat, Hussein S.

AU - Thirunarayan, Krishnaprasad

AU - Shalin, Valerie L.

AU - Sheth, Amit

AU - Parthasarathy, Srinivasan

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - Disaster relief

KW - Flood mapping

KW - Location-centric processing

KW - Need matching

UR - https://corescholar.libraries.wright.edu/knoesis/1165

U2 - 10.1145/3284566.3284572

DO - 10.1145/3284566.3284572

M3 - Conference contribution

SN - 978-1-4503-6039-5

SP - 13

EP - 16

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

A2 - Kar, Bandana

A2 - Omitaomu, Olufemi A.

A2 - Mohebbi, Shima

A2 - Fu, Guangtao

PB - Association for Computing Machinery

CY - New York

T2 - 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities

Y2 - 6 November 2018 through 6 November 2018

ER -

D-Record: Disaster Response and Relief Coordination Pipeline

Abstract

Conference

Keywords

Disciplines

Access to Document

Other files and links

Cite this