Granularity as a Parameter of Context
Granularity as a Parameter of Context
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粒度作为上下文参数
DOI：
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发表时间：
2005
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通讯作者：
H. Schmidtke
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文献类型：
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作者：
H. Schmidtke
空间和时间粒度可以理解为限制上下文中的可访问对象集的上下文参数。从这种选择过程在很大程度上取决于上下文的粒度和对象的局部外延之间的关系的思想出发，本文将上下文的粒度形式化为上下文中可能的大小的一类。这种形式化被证明是与众所周知的关于知觉分类的数学基础一致的。时间粒度的情况的一个例子说明了将新元素引入上下文可如何导致粒度的或多或少的平滑移动，从而导致四种不同类型的粒度变化的分类。研究结果可广泛应用于语境推理、自然语言理解等领域。
Spatial and temporal granularity can be understood as parameters of context restricting the set of accessible objects in a context. Starting from the idea that this selection process depends to a large extent on the relation between the grain-size of the context and the local extension of the objects, the granularity of a context is in this article formalised as a class of possible sizes in the context. This formalisation is shown to be in accordance to well-known mathematical foundations on perceptual classification. An example for the case of temporal granularity illustrates how the introduction of new elements into a context may result in a more or less smooth shifting of the granularity leading to a classification of four different types of change of granularity. The results can be applied in a wide range of fields, e.g. in research on contextual reasoning and natural language understanding.