RescueMark : Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model

Kurzanzeige
dc.contributor.authorJeitler, Astrik Veronika
dc.contributor.authorTürkoglu, Alpin
dc.contributor.authorMakarov, Denis
dc.contributor.authorJockers, Timo
dc.contributor.authorBuchmüller, Juri F.
dc.contributor.authorSchlegel, Udo
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2020-08-27T07:43:10Z
dc.date.available2020-08-27T07:43:10Z
dc.date.issued2019eng
dc.description.abstractThis paper presents RescueMark, a web-based visual analytics tool for analyzing disaster situations and guiding emergency response. In disaster situations operators must take quick and effective decisions to solve critical problems. RescueMark provides spatial, topic and temporal event exploration supporting decision making for resource allocation and determine damaged areas of the city. We describe the data analysis and visualization process of the social media data applied to extract the relevant information.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1109/VAST47406.2019.8986898eng
dc.identifier.ppn1727881575
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/50585
dc.language.isoengeng
dc.rightsterms-of-use
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dc.subjectHuman-centered computing, Visualization, Visualization application domains, Visual analyticseng
dc.subject.ddc004eng
dc.titleRescueMark : Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Modeleng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Jeitler2019Rescu-50585,
  year={2019},
  doi={10.1109/VAST47406.2019.8986898},
  title={RescueMark : Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model},
  isbn={978-1-72812-284-7},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings},
  pages={120--121},
  editor={Chang, Remco and Keim, Daniel A. and Maciejewski, Ross},
  author={Jeitler, Astrik Veronika and Türkoglu, Alpin and Makarov, Denis and Jockers, Timo and Buchmüller, Juri F. and Schlegel, Udo and Keim, Daniel A.}
}
kops.citation.iso690JEITLER, Astrik Veronika, Alpin TÜRKOGLU, Denis MAKAROV, Timo JOCKERS, Juri F. BUCHMÜLLER, Udo SCHLEGEL, Daniel A. KEIM, 2019. RescueMark : Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). Vancouver, BC, Canada, 20. Okt. 2019 - 25. Okt. 2019. In: CHANG, Remco, ed., Daniel A. KEIM, ed., Ross MACIEJEWSKI, ed.. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings. Piscataway, NJ: IEEE, 2019, pp. 120-121. ISBN 978-1-72812-284-7. Available under: doi: 10.1109/VAST47406.2019.8986898deu
kops.citation.iso690JEITLER, Astrik Veronika, Alpin TÜRKOGLU, Denis MAKAROV, Timo JOCKERS, Juri F. BUCHMÜLLER, Udo SCHLEGEL, Daniel A. KEIM, 2019. RescueMark : Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). Vancouver, BC, Canada, Oct 20, 2019 - Oct 25, 2019. In: CHANG, Remco, ed., Daniel A. KEIM, ed., Ross MACIEJEWSKI, ed.. 2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings. Piscataway, NJ: IEEE, 2019, pp. 120-121. ISBN 978-1-72812-284-7. Available under: doi: 10.1109/VAST47406.2019.8986898eng
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kops.conferencefield2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 20. Okt. 2019 - 25. Okt. 2019, Vancouver, BC, Canadadeu
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kops.title.conference2019 IEEE Conference on Visual Analytics Science and Technology (VAST)eng
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source.title2019 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedingseng

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