Using social media to find places of interest
Published 6 November 2012
Steven Van Canneyt, Olivier Van Laere, Steven Schockaert, Bart Dhoedt
Citations18
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TL;DR
For several place types, the method finds places in London that are not yet contained in the databases used by Foursquare, Google, LinkedGeoData and Geonames.
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.
Keywords
Social SciencesComputer Science
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