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The Analysis of Flood Disaster Management in Chennai
Objectives: The prime aim of this study is to build a Humanitarian Assistance Ontology. Methods/Statistical Analysis: The study used literature review methodology which involves a thorough literature search of Chennai flood – 2015 disaster. Search keywords used were social media, ontology, disaster management,water related attributes, Spatial Clustering algorithm. Full text research articles published between 2008 and 2016 were included. Quality assessment criteria were set to determine what to include and exclude for this study. 25 papers were identified as potential units for analysis. Findings: The findings have clearly revealed that only a limited study had been undertaken in the use of social media for knowledge integeration. But there is a need for knowledge towards investigating the data created in disaster management situations. Also, to determine how knowledge coordination can assist higher officials to take decision at the time of emergency situation. The review of 25 final selected papers has indicated that there is a scope for more significant research. In this paper, we build an effort to fragment the social media users who have shared comments about the Chennai recent flood and its disaster and to recognize their demographics. Our findings come as anoutcome of a thorough bibliography study as well as our hands on experiences from social media. Application/Improvements: An innovative outcome of the research was a comprehensive study to build a onto-database to recognize the right information at right time to right people as a new technology in context of crisis response.
Disaster Management, Ontology, Social media, Spatial Clustering Algorithm
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