Matching points of interest from different social networking sites

Authors:
Tatjana Scheffler;Rafael Schirru;Paul Lehmann
Affiliations:
DFKI GmbH, Berlin, Germany;DFKI GmbH, Berlin, Germany, University of Kaiserslautern, Kaiserslautern, Germany;Brandenburg University of Applied Sciences, Brandenburg an der Havel, Germany
Venue:
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
Year:
2012

Citing 3
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On the enrichment of a RDF repository of city points of interest based on social data

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Abstract

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.