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首页> 外文期刊>Journal of Visual Languages & Computing >Wayfinding choremes—a language for modeling conceptual route knowledge
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Wayfinding choremes—a language for modeling conceptual route knowledge

机译:寻路筹码-一种用于建模概念性路线知识的语言

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摘要

The emergent interest in ontological and conceptual approaches to modeling route information results from new information technologies as well as from a multidisciplinary interest in spatial cognition. Linguistics investigates verbal route directions; cartography carries out research on route maps and on the information needs of map users; and computer science develops formal representations of routes with the aim to build new wayfinding applications. In concert with geomatics, ontologies of spatial domain knowledge are assembled while sensing technologies for location-aware wayfinding aids are developed simultaneously (e.g. cell phones, GPS-enabled devices or PDAs). These joint multidisciplinary efforts have enhanced cognitive approaches for route directions. In this article, we propose an interdisciplinary approach to modeling route information, the wayfinding choreme theory. Wayfinding choremes are mental conceptualizations of functional wayfinding and route direction elements. With the wayfinding choreme theory, we propose a formal treatment of (mental) conceptual route knowledge that is based on qualitative calculi and refined by behavioral experimental research. This contribution has three parts: First, we introduce the theory of wayfinding choremes. Second, we present term rewriting rules that are grounded in cognitive principles and can tailor route directions to different user requirements. Third, we exemplify various application scenarios for our approach.
机译:对本体和概念方法进行路线信息建模的兴趣来自于新的信息技术以及对空间认知的多学科兴趣。语言学研究语言路线的方向;地图学对路线图和地图用户的信息需求进行研究;计算机科学开发了路线的形式表示,目的是建立新的寻路应用程序。与地理信息学相结合,组装了空间领域知识的本体,同时开发了用于感知位置的辅助导航技术(例如手机,支持GPS的设备或PDA)。这些多学科的共同努力增强了路线方向的认知方法。在本文中,我们提出了一种跨学科的方法来建模路线信息,即寻路理论。寻路的最高标准是功能性寻路和路线方向元素的心理概念。借助寻路性极端理论,我们提出了对(心理)概念性路线知识的形式化处理,该知识基于定性计算并通过行为实验研究进行了改进。这一贡献包括三个部分:首先,我们介绍寻路游戏的理论。其次,我们提出了基于认知原则的术语重写规则,可以根据不同的用户需求调整路线方向。第三,我们举例说明了我们的方法的各种应用场景。

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