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A geocoding algorithm for natural language address with neighborhood properties

机译:具有邻域属性的自然语言地址的地理编码算法

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Geocoding is widely used in GIS and ITS systems, but the most current geocoding systems have a shortcoming i.e. they cannot deal with some natural language addresses which commonly exist in our oral communication and some other address resources. Thus, geocoding with natural language address becomes a hot spot in GIS geocoding research. This paper, first, put forward a method of determining the neighborhood range of reference entity in POI Address, based on our former research results about modeling neighborhood ranges of different kind of Geographic entity, such as the single and multiple line and face shape entity. Second, based on the model above, an algorithm is put forward to geocoding the natural language address with neighborhood properties. Finally, a prototype system is developed to apply this algorithm. It is concluded that the algorithm has the practical value, because it faithfully fits the commonsense of human beings about the neighborhood concept in natural language address. Furthermore, it also can be applied easily by virtue of its simple principles.
机译:地理编码广泛用于GIS和ITS系统中,但是最新的地理编码系统存在一个缺点,即它们无法处理我们口头交流中通常存在的某些自然语言地址和其他地址资源。因此,以自然语言地址进行地理编码成为GIS地理编码研究的热点。本文首先基于我们以前关于建模不同种类的地理实体(如单线和多线以及面形实体)的邻域范围的研究结果,提出了一种确定POI地址中参考实体的邻域范围的方法。其次,基于上述模型,提出了一种对具有邻域属性的自然语言地址进行地理编码的算法。最后,开发了一个原型系统来应用该算法。结论表明该算法具有实用价值,因为它忠实地符合人类关于自然语言地址中邻域概念的常识。此外,由于其简单的原理,它也可以容易地应用。

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