Landmark Extraction: A Web Mining Approach
Landmark Extraction: A Web Mining Approach
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DOI：
10.1007/11556114_24
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发表时间：
2005-09
期刊：
影响因子：
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通讯作者：
Taro Tezuka;Katsumi Tanaka
中科院分区：
文献类型：
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作者：
Taro Tezuka;Katsumi Tanaka
地标在人文地理知识中起着至关重要的作用。很多工作都集中在从地理信息系统 (GIS) 或 3D 城市模型中提取地标。然而，从数字文档中提取地标的方法尚未得到充分探索。万维网基于我们对地理空间的理解提供了丰富的区域相关信息源。网络挖掘提供了一种提取地标的新方法，与传统的面向视觉的方法不同。我们的方法基于人类如何表达地理对象，而不是如何观察它们。我们扩展了现有的文本挖掘方法，以便考虑空间上下文。实验结果表明，将空间上下文引入文本挖掘可以提高从网络文档中提取地标的精度。
Landmarks play crucial roles in human geographic knowledge. There has been much work focusing on the extraction of landmarks from geographic information systems (GIS) or 3D city models. The extraction of landmarks from digital documents, however, has not been fully explored. The World Wide Web provides a rich source of region related information based on our understanding of geographic space. Web mining enables a new mean of extracting landmarks, differently from conventional vision oriented methods. Our approach is based on how geographic objects are expressed by humans, instead of how they are observed. We extend existing methods of text mining so that spatial context is considered. The results of the experiments showed that adopting spatial context into text mining improves the precision of extracting landmarks from web documents.