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Author |
Andrea Zielinski; Stuart E. Middleton; Laurissa N. Tokarchuk; Xinyue Wang |
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Title |
Social media text mining and network analysis for decision support in natural crisis management |
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Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Pages |
840-845 |
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Keywords |
Arts computing; Decision support systems; Information systems; Software prototyping; Decision supports; Link analysis; Social media; Text mining; Vgi; Web Mining; Data mining |
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Abstract |
A core issue in crisis management is to extract from the mass of incoming information what is important for situational awareness during mass emergencies. Based on a case study we develop a prototypical application, TweetComp1, which is integrated into the decision-support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper describes four novel approaches using focused twitter crawling, trustworthiness analysis, geo-parsing, and multilingual tweet classification in the context of how they could be used for monitoring crises. The validity of our state-of-the art text mining and network analysis technologies will be verified in different experiments based on a human annotated gold standard corpus. |
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Address |
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany; IT Innovation Centre, University of Southampton, Southampton, United Kingdom; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
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Track |
Social Media |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1160 |
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Author |
Jürgen Moßgraber; Fernando Chaves; Stuart E. Middleton; Zlatko Zlatev; Ran Tao |
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Title |
The seven main challenges of an early warning system architecture |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
322-331 |
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Keywords |
Decision support systems; Information systems; Middleware; Decision supports; Design decisions; Early warning; Early Warning System; Information sources; Simulation systems; System architectures; System-of-systems; Alarm systems |
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Abstract |
In this paper, we describe the work on the system architecture that is being developed in the EU FP7 project TRIDEC on “Collaborative, Complex and Critical Decision-Support in Evolving Crises”. One of the two decision support use cases in the project deals with Tsunami Early Warning. A modern warning system that follows a system-of-systems approach has to integrate various components and subsystems such as different information sources, services and simulation systems. Furthermore, it has to take into account the distributed and collaborative nature of warning systems. Working on the architecture of such a system, you need to deal with a lot of current computer science and information technology problems as well as state-of-the-art solutions from the areas of Big Data and Human Sensors. In this paper, we present the seven main challenges we needed to solve and describe the necessary design decisions we made to tackle them. |
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Address |
Fraunhofer IOSB, Germany; University of Southampton IT Innovation Centre, United Kingdom; Queen Mary University of London, United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Emergency Management Information Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
790 |
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