Matching Points of Interest from Different Social Networking Sites

  • Tatjana Scheffler
  • Rafael Schirru
  • Paul Lehmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7526)


Valuable user-generated information about locations (points of interest, POIs) is stored in various online social media platforms. Merging the data associated with one POI is hard because the platforms lack common identifiers. In addition, user-generated data is commonly faulty or contradictory. Here we present an approach matching POIs from Qype and Facebook Places to their counterparts in OpenStreetMap. The algorithm uses different similarity measures taking the geographic distance of POIs into account as well as the string similarity of selected metadata fields, showing good results.


Data Integration Social Networks User-Generated Content Points of Interest 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tatjana Scheffler
    • 1
  • Rafael Schirru
    • 1
    • 2
  • Paul Lehmann
    • 3
  1. 1.DFKI GmbHBerlinGermany
  2. 2.University of KaiserslauternKaiserslauternGermany
  3. 3.Brandenburg University of Applied SciencesBrandenburg an der HavelGermany

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