Geographic focus detection using multiple location taggers
Philipp Berger, Patrick Hennig, Dustin Glaeser, Hauke Klement, Christoph Meinel · 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) · 2014
Being able to identify locations associated to a Web resource is essential for providing location-based Web applications. However, geographical information in Web documents is rarely supplied in a machine-readable way and therefore not easily discoverable. As a consequence, it is necessary to extract geographical keywords from Web documents and to associate locations with them. This method is called location tagging. In this paper we present a location tagging approach for unstructured documents which utilizes multiple external location providers. Detected locations are ranked according to their relevance for the document, in order to identify a document's geographical focus, which is its most representative location. We present an exemplary implementation of our proposed approach using two location providers and evaluate our method's applicability.