World explorer: visualizing aggregate data from unstructured text in geo-referenced collections

@inproceedings{Ahern2007WorldEV,
  title={World explorer: visualizing aggregate data from unstructured text in geo-referenced collections},
  author={Shane Ahern and M. Naaman and Rahul Nair and J. Yang},
  booktitle={JCDL '07},
  year={2007}
}
The availability of map interfaces and location-aware devices makes a growing amount of unstructured, geo-referenced information available on the Web. [...] Key Method We show how we analyze the tags associated with the geo-referenced Flickr images to generate aggregate knowledge in the form of "representative tags" for arbitrary areas in the world.Expand
Summarization of online image collections via implicit feedback
TLDR
This work shows a method to analyze the Flickr data and generate aggregate knowledge in the form of "representative tags" for arbitrary areas in the world, displayed on a map interface in an interactive web application along with images associated with each tag. Expand
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Placing User-Generated Photo Metadata on a Map
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  • Computer Science
  • 2011 Sixth International Workshop on Semantic Media Adaptation and Personalization
  • 2011
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Large user photo collections from Flickr are analyzed in order to select the most appropriate tags to describe a geographical area and these tags are placed on a map to help users to intuitively understand places of interest/visual content at a glance. Expand
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ThemExplorer: Finding and browsing geo-referenced images
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