A Size-Based Qualitative Approach to the Representation of Spatial Granularity
A Size-Based Qualitative Approach to the Representation of Spatial Granularity
复制标题
基于尺寸的空间粒度表示的定性方法
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Woontack Woo
中科院分区：
文献类型：
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作者：
H. Schmidtke;Woontack Woo
局部空间背景是空间推理过程中当前正在考虑的一个领域。该区域与周围空间之间的边界以及表示的空间粒度将在给定时间内空间相关的内容与不相关的内容分开。本文中讨论的方法与空间粒度的其他方法不同，因为它不关注空间域的分区，而是关注粒度大小和空间上下文的有限范围的概念作为空间粒度的主要因素。从这些概念的部分拓扑学特征出发，定义了上下文中的相关和不相关扩展的概念。这种方法是定性的，在这个意义上，定量，度量的概念是不需要的。的公理表征进行了彻底的评估：它是比较其他mereotopological表征的空间粒度;合理性证明了一个例子模型;和知识表示的适用性说明了常识概念化的定义相同，和相邻的位置。
A local spatial context is an area currently under consideration in a spatial reasoning process. The boundary between this area and the surrounding space together with the spatial granularity of the representation separates what is spatially relevant from what is irrelevant at a given time. The approach discussed in this article differs from other approaches to spatial granularity as it focusses not on a partitioning of the spatial domain, but on the notions of grain-size and the limited extent of a spatial context as primary factors of spatial granularity. Starting from a mereotopological characterization of these concepts, the notions of relevant and irrelevant extension in a context are defined. The approach is qualitative in the sense that quantitative, metric concepts are not required. The axiomatic characterization is thoroughly evaluated: it is compared to other mereotopological characterizations of spatial granularity; soundness is proven with an example model; and applicability for Knowledge Representation is illustrated with definitions for common sense conceptualizations of sameness, and adjacency of locations.