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Enhancing RSS Feeds with Extracted Geospatial Information for Further Processing and Visualization

  • Marc Wick
  • Torsten Becker
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Internet users are flooded with information and are thankful for help in categorizing and visualizing textual content. Geographical categorization is one of the most important criterion for filtering, grouping and prioritizing information as users are naturally more interested in local information. We describe a way to extract geographical information from textual content using natural language processing, and we display the information within a geographical context on maps and satellite images. Using the widely supported RSS format as the input format, this approach allows us to process content from nearly all online news sites and blogs.

Keywords

Natural Language Processing News Item Inverted Index Natural Language Text Social Bookmark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Marc Wick
    • 1
  • Torsten Becker
    • 2
  1. 1.Project Lead Geonames.org St. GallenSwitzerland
  2. 2.Founder of ExploreOurPla.netCologneGermany

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