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Identifying the Geographical Scope of Prohibition Signs

机译:确定禁止标志的地理范围

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Prohibition signs warn of actions considered dangerous or annoying. Typically, these signs are located near the beginning of their scope, but knowledge about applicable prohibitions is important at any place within the scope. We developed an automated method to determine the scope of signs, aiming to support volunteered geographic information (VGI) applications that wish to capture prohibitions. In this paper we investigate the problem of computing the scope of geo-referenced signs that refer to human outdoor activities using OpenStreetMap (OSM) data. We analyze the problem and discuss the specific challenges faced. From the analysis we derive a symbolic representation that links activities with (OSM) map features, enabling semantic assessment of map features with respect to a prohibition and reasoning to infer its scope. In a comparative evaluation we demonstrate that our spatial-semantic approach significantly outperforms a previous method based on proximity.
机译:禁止标志警告被认为危险或令人讨厌的行为。通常,这些标志位于其作用域的开始附近,但是有关适用禁令的知识在作用域内的任何位置都很重要。我们开发了一种自动方法来确定标志的范围,旨在支持希望捕获禁令的自愿性地理信息(VGI)应用程序。在本文中,我们研究了使用OpenStreetMap(OSM)数据计算涉及人类户外活动的地理参考标志范围的问题。我们分析问题并讨论面临的具体挑战。从分析中,我们得出了将活动与(OSM)地图特征链接在一起的符号表示形式,从而可以就禁止和推理方面推断出地图特征的语义,以推断其范围。在比较评估中,我们证明了我们的空间语义方法明显优于以前的基于接近度的方法。

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