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

Steven Van Canneyt, O. Laere, S. Schockaert, B. Dhoedt
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引用次数: 20

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.
利用社交媒体寻找有趣的地方:一个案例研究
在本文中,我们展示了如何使用社交媒体中大量的地理注释数据来补充现有的地点数据库。在解释了我们的方法之后,我们将以伦敦为例说明如何使用此方法来发现给定语义类型的新实例。特别地,对于几种地点类型,我们的方法在伦敦查找尚未包含在Foursquare、Google、LinkedGeoData和Geonames使用的数据库中的地点。受到这些结果的鼓舞,我们简要地概述了如何使用类似的技术来识别现有数据库中可能出现的错误,估计地点的空间范围,发现地点类型之间的语义关系,并向上传照片的用户推荐标签。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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