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  DOI Prefix   10.20431


 

International Journal of Research Studies in Computer Science and Engineering
Volume 3, Issue 4, 2016, Page No: 12-15
doi:dx.doi.org/10.20431/2349-4859.0304002

Leveraging Social Media Cloud and Hadoop Frame Work to Help the Disasters Rescue Team

Raguvaran.S1, Joyce Beryl Princess.P1

1.KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India

Citation : Raguvaran.S,Joyce Beryl Princess.P, Leveraging Social Media Cloud and Hadoop Frame Work to Help the Disasters Rescue Team International Journal of Research Studies in Computer Science and Engineering 2016, 3(4) : 12-15

Abstract

Anthropogenic and natural hazards adversely affect human, eco system and infrastructure of our nation. In 2015, both Chennai flood and Nepal earthquake caused significant damage to the mankind and country. Since the information about the post disaster scenario is inadequate, NDRF (National Disaster Response Force) struggles a lot to rescue the victims from the affected area. Collecting, sharing, and delivering information in disaster situations is crucially important. We are likely to create big data and social media cloud based framework to collect, analyze and deliver the required information to help the government to save the life's after Disaster. Firstly, this system crawls into the social media cloud, especially Twitter, Facebook to mine disaster-related tweets and Statuses in real time. This system incorporates data analytics phase to provide the accurate and precise information about the post disaster scenario in real time. Secondly, the locations from where the Tweets and Status which has been updated is monitored and the locations are stored in a cloud database. Further the database is shared with the NDRF which will help the rescue process to be done quickly.


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