Safety Check - A Semantic web application for emergency management

Y. Pandey, Srividya Bansal

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

1 Citation (Scopus)

Abstract

Semantic Computing is being used in a wide variety of domains to develop intelligent applications. With the increasing availability of different kinds of data on the web, providing better emergency management in case of natural disasters and humanitarian crises is much needed. This paper presents the use of semantic technologies to build a web application called Safety Check. The aim of this work is to implement a knowledge intensive application that identifies those people that may have been affected due to natural disasters or man-made disasters at any geographical location and notify them with safety instructions. This involves extraction of data from various sources for emergency alerts, weather alerts, and contacts data. The extracted data is integrated using a semantic data model and transformed into semantic data. Semantic reasoning was done through rules and queries.

Original languageEnglish (US)
Title of host publicationProceedings of the International Workshop on Semantic Big Data, SBD 2017 - In conjunction with the 2017 ACM SIGMOD/PODS Conference
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450349871
DOIs
StatePublished - May 19 2017
EventInternational Workshop on Semantic Big Data, SBD 2017 - Chicago, United States
Duration: May 19 2017 → …

Other

OtherInternational Workshop on Semantic Big Data, SBD 2017
CountryUnited States
CityChicago
Period5/19/17 → …

Fingerprint

Semantic Web
Semantics
Disasters
Data structures
Web application
Safety
Semantic web
Emergency management
Availability
Natural disasters

Keywords

  • Data integration
  • Earthquake & weather alerts
  • Emergency management
  • Linked data
  • Semantic computing, semantic data

ASJC Scopus subject areas

  • Information Systems and Management
  • Computer Networks and Communications
  • Information Systems

Cite this

Pandey, Y., & Bansal, S. (2017). Safety Check - A Semantic web application for emergency management. In Proceedings of the International Workshop on Semantic Big Data, SBD 2017 - In conjunction with the 2017 ACM SIGMOD/PODS Conference [a7] Association for Computing Machinery, Inc. https://doi.org/10.1145/3066911.3066917

Safety Check - A Semantic web application for emergency management. / Pandey, Y.; Bansal, Srividya.

Proceedings of the International Workshop on Semantic Big Data, SBD 2017 - In conjunction with the 2017 ACM SIGMOD/PODS Conference. Association for Computing Machinery, Inc, 2017. a7.

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

Pandey, Y & Bansal, S 2017, Safety Check - A Semantic web application for emergency management. in Proceedings of the International Workshop on Semantic Big Data, SBD 2017 - In conjunction with the 2017 ACM SIGMOD/PODS Conference., a7, Association for Computing Machinery, Inc, International Workshop on Semantic Big Data, SBD 2017, Chicago, United States, 5/19/17. https://doi.org/10.1145/3066911.3066917
Pandey Y, Bansal S. Safety Check - A Semantic web application for emergency management. In Proceedings of the International Workshop on Semantic Big Data, SBD 2017 - In conjunction with the 2017 ACM SIGMOD/PODS Conference. Association for Computing Machinery, Inc. 2017. a7 https://doi.org/10.1145/3066911.3066917
Pandey, Y. ; Bansal, Srividya. / Safety Check - A Semantic web application for emergency management. Proceedings of the International Workshop on Semantic Big Data, SBD 2017 - In conjunction with the 2017 ACM SIGMOD/PODS Conference. Association for Computing Machinery, Inc, 2017.
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