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Place Enrichment by Mining the Web

  • Ana O. Alves
  • Francisco C. Pereira
  • Assaf Biderman
  • Carlo Ratti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5859)

Abstract

In this paper, we address the assignment of semantics to places. The approach followed consists on leveraging from web online resources that are directly or indirectly related to places as well as from the integration with lexical and semantic frameworks such as Wordnet or Semantic Web ontologies. We argue for the wide applicability and validity of this approach to the area of Ubiquitous Computing, particularly for Context Awareness. We present our system, KUSCO, which searches for semantics associations to a given Point Of Interest (POI). Particular focus is provided to the experimentation and validation aspects.

Keywords

Noun Phrase Information Extraction Ubiquitous Computing Name Entity Recognition Relevant Page 
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 2009

Authors and Affiliations

  • Ana O. Alves
    • 1
    • 2
  • Francisco C. Pereira
    • 2
  • Assaf Biderman
    • 3
  • Carlo Ratti
    • 3
  1. 1.ISECCoimbra Institute of EngineeringPortugal
  2. 2.CISUCUniversity of CoimbraPortugal
  3. 3.SENSEable City LabMITUSA

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