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Crowdsourced Data (CSD) has recently received increased attention in many application areas including disaster management.
Convenience of production and use, data currency and abundancy are some of the key reasons for attracting this high interest.
Conversely, quality issues like incompleteness, credibility and relevancy prevent the direct use of such data in important
applications like disaster management. Moreover, location information availability of CSD is problematic as it remains very low in
many crowd sourced platforms such as Twitter. Also, this recorded location is mostly related to the mobile device or user location
and often does not represent the event location. In CSD, event location is discussed descriptively in the comments in addition to the
recorded location (which is generated by means of mobile device's GPS or mobile communication network). This study attempts to
semantically extract the CSD location information with the help of an ontological Gazetteer and other available resources. 2011
Queensland flood tweets and Ushahidi Crowd Map data were semantically analysed to extract the location information with the
support of Queensland Gazetteer which is converted to an ontological gazetteer and a global gazetteer. Some preliminary results
show that the use of ontologies and semantics can improve the accuracy of place name identification of CSD and the process of
location information extraction
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