@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.}
}

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/50585">
    <dc:creator>Türkoglu, Alpin</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-08-27T07:43:10Z</dc:date>
    <dc:creator>Makarov, Denis</dc:creator>
    <dc:language>eng</dc:language>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Jeitler, Astrik Veronika</dc:contributor>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:abstract xml:lang="eng">This 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.</dcterms:abstract>
    <dcterms:issued>2019</dcterms:issued>
    <dc:contributor>Türkoglu, Alpin</dc:contributor>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/50585/1/Jeitler_2-y97wz7grp4sv4.pdf"/>
    <dcterms:title>RescueMark : Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model</dcterms:title>
    <dc:creator>Buchmüller, Juri F.</dc:creator>
    <dc:contributor>Buchmüller, Juri F.</dc:contributor>
    <dc:creator>Jeitler, Astrik Veronika</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-08-27T07:43:10Z</dcterms:available>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/50585/1/Jeitler_2-y97wz7grp4sv4.pdf"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/50585"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:contributor>Makarov, Denis</dc:contributor>
    <dc:contributor>Schlegel, Udo</dc:contributor>
    <dc:creator>Schlegel, Udo</dc:creator>
    <dc:creator>Jockers, Timo</dc:creator>
    <dc:contributor>Jockers, Timo</dc:contributor>
  </rdf:Description>
</rdf:RDF>