Semantic location extraction from crowdsourced data

Koswatte, Saman and McDougall, Kevin and Liu, Xiaoye (2016) Semantic location extraction from crowdsourced data. In: XXIII International Society for Photogrammetry and Remote Sensing (ISPRS 2016), 12–19 July 2016, Prague, Czech Republic.

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Abstract

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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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 03 Oct 2017 06:54
Last Modified: 14 Nov 2017 02:56
Uncontrolled Keywords: Geospatial Semantics, SDI, Crowdsourced Data, Ontologies, QLD Floods
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
04 Earth Sciences > 0499 Other Earth Sciences > 049999 Earth Sciences not elsewhere classified
Identification Number or DOI: 10.5194/isprsarchives-XLI-B2-543-2016
URI: http://eprints.usq.edu.au/id/eprint/29721

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