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| Content Provider | Springer Nature Link |
|---|---|
| Author | Andrews, Simon Gibson, Helen Domdouzis, Konstantis Akhgar, Babak |
| Copyright Year | 2016 |
| Abstract | During a crisis citizens reach for their smart phones to report, comment and explore information surrounding the crisis. These actions often involve social media and this data forms a large repository of real-time, crisis related information. Law enforcement agencies and other first responders see this information as having untapped potential. That is, it has the capacity extend their situational awareness beyond the scope of a usual command and control centre. Despite this potential, the sheer volume, the speed at which it arrives, and unstructured nature of social media means that making sense of this data is not a trivial task and one that is not yet satisfactorily solved; both in crisis management and beyond. Therefore we propose a multi-stage process to extract meaning from this data that will provide relevant and near real-time information to command and control to assist in decision support. This process begins with the capture of real-time social media data, the development of specific LEA and crisis focused taxonomies for categorisation and entity extraction, the application of formal concept analysis for aggregation and corroboration and the presentation of this data via map-based and other visualisations. We demonstrate that this novel use of formal concept analysis in combination with context-based entity extraction has the potential to inform law enforcement and/or humanitarian responders about on-going crisis events using social media data in the context of the 2015 Nepal earthquake. |
| Starting Page | 287 |
| Ending Page | 312 |
| Page Count | 26 |
| File Format | |
| ISSN | 09259902 |
| Journal | Journal of Intelligent Information Systems |
| Volume Number | 47 |
| Issue Number | 2 |
| e-ISSN | 15737675 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-05-06 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Formal concept analysis Crisis management Disaster response Visualisation Entity extraction Information Storage and Retrieval Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Document Preparation and Text Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture |
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