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Detection using Multiple Location Taggers
| Content Provider | Semantic Scholar |
|---|---|
| Author | Berger, Philipp Hennig, Patrick Glaeser, Dustin Klement, Hauke Meinel, Christoph |
| Copyright Year | 2014 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://philippberger.biz/papers/paper_2014_Geographic%20Focus%20Detection_ASONAM.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
