Geo-tagging for imprecise regions of different sizes

Robert C. Pasley, Paul D. Clough, M. Sanderson
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引用次数: 36

Abstract

Extracting geographical information from various web sources is likely to be important for a variety of applications. One such use for this information is to enable the study of vernacular regions: informal places referred to on a day-to-day basis, but with no official entry in geographical resources, such as gazetteers. Past work in automatically extracting geographical information from the web to support the creation of vernacular regions has tended to focus on larger regions (e.g. "The British Midlands" and "The South of France"). In this paper we report the results of preliminary work to investigate the success of using a simple geo-tagging approach and resources of varying granularity from the Ordnance Survey to extract geographical information from web pages. We find that the data gathered for smaller regions (compared with larger ones) is more "fine-grained" which has an effect on the type of resource most useful for geo-tagging and its success.
不同大小的不精确区域的地理标记
从各种网络资源中提取地理信息对于各种应用程序来说可能很重要。这种信息的一种用途是使研究白话地区成为可能:在日常基础上提到的非正式地点,但在地理资源中没有正式的条目,如地名词典。过去在从网络中自动提取地理信息以支持本地区域创建方面的工作往往侧重于更大的区域(例如:北京)。“英国中部”和“法国南部”)。在本文中,我们报告了初步工作的结果,以调查使用简单的地理标记方法和地形测量处不同粒度的资源从网页中提取地理信息的成功。我们发现小区域收集的数据(与大区域相比)更“细粒度”,这对地理标记及其成功最有用的资源类型有影响。
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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