Tagging Space from Information Extraction and Popularity of Points of Interest

  • Ana O. Alves
  • Filipe Rodrigues
  • Francisco C. Pereira
Conference paper

DOI: 10.1007/978-3-642-25167-2_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7040)
Cite this paper as:
Alves A.O., Rodrigues F., Pereira F.C. (2011) Tagging Space from Information Extraction and Popularity of Points of Interest. In: Keyson D.V. et al. (eds) Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg

Abstract

This paper is about automatic tagging of urban areas considering its constituent Points of Interest. First, our approach geographically clusters places that offer similar services in the same generic category (e.g. Food & Dining; Entertainment & Arts) in order to identify specialized zones in the urban context. Then, these places are analysed and tagged from available information sources on the Web using KUSCO [2,3] and finally the most relevant tags are chosen considering not only the place itself but also its popularity in social networks. We present some experiments in the greater metropolitan area of Boston.

Keywords

Context-Awareness Semantic Enrichment Web Mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ana O. Alves
    • 1
    • 2
  • Filipe Rodrigues
    • 1
  • Francisco C. Pereira
    • 1
  1. 1.CISUCUniversity of CoimbraPortugal
  2. 2.ISECCoimbra Institute of EngineeringPortugal

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