@inproceedings{Krstajic2012Getti-22949,
  year={2012},
  title={Getting there first : real-time detection of real-world incidents on Twitter},
  author={Krstajic, Milos and Rohrdantz, Christian and Blumenschein, Michael and Weiler, Andreas},
  note={2nd Workshop on Interactive Visual Text Analytics : Task-Driven Analysis of Social Media Content with Visweek’12.<br /> Oct. 2012.}
}

<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/123456789/22949">
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Krstajic, Milos</dc:contributor>
    <dc:creator>Krstajic, Milos</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Blumenschein, Michael</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-06-06T07:22:28Z</dc:date>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-06-06T07:22:28Z</dcterms:available>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/22949/1/Getting-There-First%20edit.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/22949/1/Getting-There-First%20edit.pdf"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Weiler, Andreas</dc:creator>
    <dc:creator>Rohrdantz, Christian</dc:creator>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22949"/>
    <dcterms:abstract xml:lang="eng">Social networking and micro-blogging services such as Twitter have become a valuable source of information on current events. Widespread use of Twitter on mobile devices and personal computers enables users to share short messages on any subject in real-time, thus making it suitable for early detection of unexpected events where fast response is critical. In this paper, we present an online method for detection of real-world events in Twitter data, such as natural disasters or man-made catastrophes, by analyzing Twitter data. Our method combines different textual and frequency components that represent or approximate interesting semantic aspects of an event. We use visualization as a validation vehicle, which allows us to understand which components are relevant and what impact the parameters have on the results of our event detection algorithm.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dcterms:issued>2012</dcterms:issued>
    <dc:creator>Blumenschein, Michael</dc:creator>
    <dc:contributor>Rohrdantz, Christian</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Weiler, Andreas</dc:contributor>
    <dcterms:title>Getting there first : real-time detection of real-world incidents on Twitter</dcterms:title>
  </rdf:Description>
</rdf:RDF>