Using social media to find places of interest: a case study

Authors:
Steven Van Canneyt;Olivier Van Laere;Steven Schockaert;Bart Dhoedt
Affiliations:
Ghent University, Gent, Belgium;Ghent University, Gent, Belgium;Cardiff University, Cardiff, United Kingdom;Ghent University, Gent, Belgium
Venue:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Year:
2012

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Abstract

In this paper, we show how the large amount of geographically annotated data in social media can be used to complement existing place databases. After explaining our method, we illustrate how this approach can be used to discover new instances of a given semantic type, using London as a case study. In particular, for several place types, our method finds places in London that are not yet contained in the databases used by Foursquare, Google, LinkedGeoData and Geonames. Encouraged by these results, we briefly sketch how similar techniques could potentially be used to identify likely errors in existing databases, to estimate the spatial extent of places, to discover semantic relationships between place types, and to recommend tags to users who are uploading photos.