Disaster management has been attracting a lot of attention from many research communities, including that of computer science, which plays a key role in devising ways to manage and analyse data and is required for disaster management situations.
For this special issue we are particularly interested in original work (including significant works-in-progress) on the current state of research and developments in data management and analysis that will greatly benefit the disaster management community in the whole cycle of the detection, prevention, preparation, response and recovery from disasters. Contributions on information and data management that improves support for disaster management and emergency responses are solicited.
The issue will carry revised and substantially extended versions of selected papers presented at the 1st IEEE International Conference on Information and Communication Technologies for Disaster Management (ICT-DM'2014), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Querying and filtering of heterogeneous, multi-source streaming disaster data
- Challenges of big data in disaster management
- Context-awareness information analysis and extraction
- Data mining from multiple-information and huge sources
- Multi-sensor data fusion
- Sensor data interoperability, analysis and interpretation
- Semantic-based data mining and data pre-processing
- Data acquisition, integration, cleaning and best practices
- Mining and making decisions based on time-evolving and uncertain data
- Human-system interactive information extraction
- Uncertainty and possibly adversity in data handling and delivery
- Crowd sourcing
- Data management in the social web
- Trust and information credibility in social networks
- Damage and loss assessment
- Post-disaster needs assessment
- Spatiotemporal and stream data management
- Geospatial data collection for disaster response
- Cloud/grid/stream data mining
Important Dates
Submission of manuscripts: 30 November, 2014
Notification to authors: 30 December, 2014
Final versions due: 2 March, 2015
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