Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2014
DOI: 10.1145/2666310.2666367
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Extraction, integration and exploration of crowdsourced geospatial content from multiple web sources

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Cited by 3 publications
(3 citation statements)
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“…The aggregation of images was achieved through the appropriation of a commercial data mining tool, Geostream (Lamprianidis and Pfoser 2014), with the capacity to gather online images with a selected geolocation. 4 Although the Geostream aggregator tool was originally developed to gather data from several different social media platforms, only some of these were image-based-the main image-sharing platform aggregated by Geostream was Flickr.…”
Section: Designing the Data Collection Strategymentioning
confidence: 99%
“…The aggregation of images was achieved through the appropriation of a commercial data mining tool, Geostream (Lamprianidis and Pfoser 2014), with the capacity to gather online images with a selected geolocation. 4 Although the Geostream aggregator tool was originally developed to gather data from several different social media platforms, only some of these were image-based-the main image-sharing platform aggregated by Geostream was Flickr.…”
Section: Designing the Data Collection Strategymentioning
confidence: 99%
“…This allows us to demonstrate how the enabled social media platforms can all be accessed in a similar workflow, just by tweaking a set of parameters. The concept for the universal collector is used at an early stage in [53,54] and presented in more detail in Section 8.2.…”
Section: Universal Platform Collectormentioning
confidence: 99%
“…Eventually the goal is that the resulting fused dataset and the computed metadata will be exposed via a single endpoint allowing other users and systems to use the combined information. This chapter's content is mostly based on the following two publications: [53] accepted in the 3rd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information and [54] accepted in the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems both held in parallel in 2014.…”
Section: Integration Of Geospatial Content From Multiple Sourcesmentioning
confidence: 99%