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Geotagging Aided by Topic Detection with Wikipedia

  • Rafael Odon de AlencarEmail author
  • Clodoveu Augusto Davis Jr
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC, volume 1)

Abstract

It is known that geography-aware keyword queries correspond to a significant share of the users’ demand on search engines. This paper describes a strategy for tagging documents with place names according to the geographical context of their textual content by using a topic indexing technique that considers Wikipedia articles as a controlled vocabulary. By identifying those topics in the text, we connect documents with the Wikipedia semantic network of articles allowing us to perform operations on Wikipedia’s graph and find related places. We present an experimental evaluation on documents tagged as Brazilian states demonstrating the feasibility of our proposal and opening the way to further research geotagging based on semantic networks.

Keywords

Semantic Network Brazilian State Anchor Text Topic Detection Geographic Entity 
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 2011

Authors and Affiliations

  • Rafael Odon de Alencar
    • 1
    • 2
    Email author
  • Clodoveu Augusto Davis Jr
    • 1
  1. 1.Database Laboratory, Departamento de Ciência da ComputaçãoUniversidade Federal de Minas GeraisBelo HorizonteBrazil
  2. 2.Serviço Federal de Processamento de Dados (SERPRO)ManausBrazil

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