Information Chain Support for Disaster Mitigation, Preparedness, Response and Recovery
Introduction
When disasters strike, an urgent task for decision makers and the general public is to consol- idate scattered, probably chaotic and incomplete information and then to plan the next step. The information needed to reach a decision or develop a policy is very likely not provided by a single document or a single piece of text, but resides in multiple sources. In other words, a document might be complemented or further elaborated upon by other documents, and all of them, only as a whole, provide a complete and satisfying answer. This project aims to provide a new information chain support for emergency management.
Team
- Project Lead
- Hui Fang, Assistant Professor, Department of Electrial and Computer Engineering
- Xiaoming Li, Associate Professor, Department of Electrical and Computer Engineering
- Patricia Young , Resource Collection Coordinator, Disaster Research Center
- James Kendra , Director, Disaster Research Center
- Students
- Kuang Lu
- Hao Wu
- Yulin Zhang
- Mel Johnson
Publications
- Zhuo Li, Sandra Carberry, Hui Fang, Kathleen F. McCoy, Kelly Peterson
and Matthew Stagitis.
A Novel Methodology for Retrieving Infographics Utilizing
Structure and Message Content .
To appear in Data & Knowledge Engineering .
- Xitong Liu and Hui Fang.
Towards Less Biased Web Search
To appear in the ACM SIGIR International Conference on the Theory
of Information Retrieval . (ICTIR'15).
- Hao Wu and Hui Fang.
Analytical Performance Modeling for Top-K Query Processing .
In the proceedings of the 23rd ACM International Conference on
Information and Knowledge Management,
2014. (CIKM'14, 21% acceptance).
- Hao Wu and Hui Fang.
Document Prioritization for Scalable Query Processing .
In the proceedings of the 23rd ACM International Conference on
Information and Knowledge Management,
2014. (CIKM'14, 21% acceptance).