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Author (up) Andrea Zielinski; Stuart E. Middleton; Laurissa N. Tokarchuk; Xinyue Wang pdf  isbn
openurl 
  Title Social media text mining and network analysis for decision support in natural crisis management Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 840-845  
  Keywords Arts computing; Decision support systems; Information systems; Software prototyping; Decision supports; Link analysis; Social media; Text mining; Vgi; Web Mining; Data mining  
  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.  
  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  
  Corporate Author Thesis  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1160  
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Author (up) Jürgen Moßgraber; Fernando Chaves; Stuart E. Middleton; Zlatko Zlatev; Ran Tao pdf  isbn
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  Title The seven main challenges of an early warning system architecture Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 322-331  
  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  
  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.  
  Address Fraunhofer IOSB, Germany; University of Southampton IT Innovation Centre, United Kingdom; Queen Mary University of London, United Kingdom  
  Corporate Author Thesis  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Emergency Management Information Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 790  
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