城市网络爬行

Dirk Ahlers, Susanne CJ Boll
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引用次数: 15

摘要

本地搜索正日益成为研究兴趣的主要焦点。它是一个被广泛认可的专业搜索,具有广泛的应用领域。它的数据通常来自不同的来源。一个尚未开发的位置数据来源是WWW。今天,网络并没有明确地揭示它的位置关系;相反,这些信息隐藏在页面内容的某个地方。为了利用这些位置信息,我们需要查找、提取相关的Web页面并在地理空间上建立索引。为了有效地检索这些内容,本文研究了聚焦网络爬行在地理空间领域的应用。我们描述了我们的方法,用于城市地区和其他建筑密度高的地区的地理感知集中爬行。我们展示了我们的实验结果,让我们深入了解空间网络信息,如位置密度和主题页面之间的链接距离。我们的爬行和评估支持了我们的假设,即地理空间聚焦爬行适用于城市地理空间主题。
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Urban web crawling
Local search is increasingly becoming a major focus point of research interest. It is a widely-recognized speciality search with a large application area. Its data is usually aggregated from a variety of sources. One as yet largely untapped source of location data is the WWW. Today, the Web does not explicitly reveal its location-relation; rather this information is hidden somewhere within pages' contents. To exploit such location information, we need to find, extract and geo-spatially index relevant Web pages. For an effective retrieval of such content, this paper examines the application of focused Web crawling to the geospatial domain. We describe our approach for a geo-aware focused crawling of urban areas and other regions with a high building density. We present our experimental results that give us insight into spatial Web information such as location density and link distance between topical pages. Our crawls and evaluations back our hypothesis that geospatially focused crawling is suitable for the urban geospatial topic.
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