Juan Li; Qingrui Li; Ashok Ginjala; Nazia Zaman

eSMS - a Semantics-assisted Emergency Information System Based on Social Media

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Author(s)

Juan Li ^1,* Qingrui Li ¹ Ashok Ginjala ¹ Nazia Zaman ¹

1. North Dakota State University, Computer Science Department, Fargo, 58078, USA

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2014.08.03

Received: 7 Oct. 2013 / Revised: 9 Mar. 2014 / Accepted: 10 May 2014 / Published: 8 Jul. 2014

Index Terms

Emergency Management, Information System, Social Media, Semantics, Semantic Web

Abstract

Natural and man-made disasters pose an ever-present threat to our society. Providing real time information is vital in emergency management. Current disaster information systems only use and manage relatively limited information, such as, within an organization or with a few organizations which have an agreement on information content and format. As a result, a large amount of potentially precious information and natural volunteer workers are ignored. On the other hand, social media have been used by people to propagate emergent situations. Therefore, in this project, we aim to maximally utilize all of the available emergency-related information from various sources of social media to better manage natural and man-made disasters. In particular, we propose a semantics-extended social search engine that can fetch highly relevant information from social media for emergency management purpose.

Cite This Paper

Juan Li, Qingrui Li, Ashok Ginjala, Nazia Zaman, "eSMS - a Semantics-assisted Emergency Information System Based on Social Media", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.8, pp.18-24, 2014. DOI:10.5815/ijitcs.2014.08.03

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International Journal of Information Technology and Computer Science (IJITCS)