Building place reference systems that can be used as annotation standard for integrating web resources and geographic information. In particular, distinguish a variety of relevant types of place by reconstructing them from affordance-perception in the env

构建可用作集成网络资源和地理信息的注释标准的地点参考系统。

基本信息

项目摘要

In order to realize long term visions such as Al Gore´s Digital Earth, we require a better way to semantically integrate the available heterogeneous data sources. For integration purposes, one needs to find common references for key terms in the data. Since most digital information has some explicit or implicit spatial reference, it seems obvious to use it as integration key. But this is only possible if spatial references can be identified and mapped onto one another. However, humans primarily use places, such as markets, as spatial references, while current geographic information systems (GIS) as well as web locator services, such as gazetteers, are based on locations understood as geodetic coordinates. Since most of human spatial discourse happens in terms of place, not space, current GIS systems and web locator practices seem partially ill-conceived. We follow human geographers like Tuan and Relph in arguing that place and location, even though often used interchangeably in everyday speech, denote very different categories. In particular, places often lack precise reference systems. This hampers the use of places as integration keys and represents a genuine research challenge in information semantics. Research is required that explores the fundaments and identity criteria of different place concepts, makes them distinguishable in a computable language that can be used to annotate data, and thus lays the ground to build place reference systems.In former work, I have suggested that places should be conceived as media of containment referenced by humans in an act of social convention based on perceived affordances. During the fellowship, I will make relevant place concepts distinguishable in a formal OWL typology according to their underlying perceived affordances. I will also reformulate the idea of affordance-based place definition and publish major strands of argument in an article.
为了实现像Al Gore的数字地球这样的长期愿景,我们需要一种更好的方法在语义上集成可用的异构数据源。出于集成的目的,需要找到数据中关键术语的公共引用。由于大多数数字信息都有一些显式或隐式的空间参考,因此将其用作集成键似乎是显而易见的。但这只有在空间参考可以被识别并相互映射的情况下才有可能。然而,人类主要使用地点(如市场)作为空间参考,而当前的地理信息系统(GIS)以及网络定位服务(如地名词典)则基于被理解为大地坐标的位置。由于大多数人类空间话语发生在地点,而不是空间,目前的GIS系统和网络定位器实践似乎部分考虑不周全。我们遵循像Tuan和Relph这样的人文地理学家的观点,认为place和location尽管在日常生活中经常互换使用,但它们表示非常不同的类别。特别是,地方往往缺乏精确的参考系统。这阻碍了位置作为集成键的使用,并代表了信息语义中真正的研究挑战。研究需要探索不同地点概念的基础和识别标准,使它们在可计算语言中可区分,可用于注释数据,从而为建立地点参考系统奠定基础。在以前的工作中,我曾建议将场所视为一种包容的媒介,由人类在基于感知的可视性的社会习俗行为中引用。在研究期间,我将根据其潜在的感知启示,在正式的OWL类型学中区分相关的地点概念。我还将重新阐述基于可视性的地点定义的概念,并在一篇文章中发表主要论点。

项目成果

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Dr. Simon Scheider其他文献

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