Combining Big Social Media Data and FCA for Crisis Response

GIBSON, Helen, ANDREWS, Simon, DOMDOUZIS, Konstantinos, HIRSCH, Laurence and AKHGAR, Babak (2014). Combining Big Social Media Data and FCA for Crisis Response. In: 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing. The Institute of Electrical and Electronics Engineers, 690-695.

[img]
Preview
PDF
Andrews Combining big social media data.pdf - Accepted Version
Available under License All rights reserved.

Download (486kB) | Preview
Official URL: http://dx.doi.org/10.1109/UCC.2014.112
Link to published version:: 10.1109/UCC.2014.112

Abstract

The use of social media is now prevalent in all aspects of society. Each and every major news event is accompanied by a stream of real-time social media posts, creating a vast and ever changing data supply - a hallmark of big data. The aim of the ATHENA project is to turn this stream of information into a vital resource for the public and first responders during a crisis. ATHENA recognizes that citizens are currently under-utilized in crises and that they are often willing to engage in the response effort. Social media provides a robust platform for this interaction. Due to the volume and fast paced nature of the incoming data streams, the challenges for ATHENA system are how to integrate and process this data and then how to transform it into intelligence to be used by law enforcement agencies and the public alike. This paper introduces potential applications within the ATHENA project, in particular, those based on a technique known as formal concept analysis.

Item Type: Book Section
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Identification Number: 10.1109/UCC.2014.112
Depositing User: Helen Garner
Date Deposited: 30 Mar 2015 15:13
Last Modified: 10 Nov 2016 00:46
URI: http://shura.shu.ac.uk/id/eprint/9590

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics