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Geographic focus detection using multiple location taggers

机译:使用多个位置标记器的地理焦点检测

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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.
机译:能够识别与Web资源关联的位置对于提供基于位置的Web应用程序至关重要。但是,Web文档中的地理信息很少以机器可读的方式提供,因此不容易被发现。结果,有必要从Web文档中提取地理关键字并将其与位置相关联。此方法称为位置标记。在本文中,我们提出了一种利用多个外部位置提供程序的非结构化文档的位置标记方法。根据检测到的位置与文档的相关性对它们进行排名,以识别文档的地理重点,这是文档的最具代表性的位置。我们提出了使用两个位置提供程序的拟议方法的示例性实现,并评估了该方法的适用性。

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