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Using temporal constraints for temporal abstraction

机译：使用时间约束进行时间抽象

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The need to provide high level descriptions of the evolution of data is evident in fields like medicine. For being able to perform task such as diagnostic or monitoring, it is very important to facilitate a high level representation and management of temporal data. With this representation two main benefits are obtained: it becomes easier to compare data with generic knowledge, and the volume of data can be reduced. Several models have been proposed for time representation and management. Temporal constraints have been extensively used as a liable model in problems where temporal imprecision or missing data exist. The imprecision is usually present when data are manually collected, or when the data are based on subjective observations. The aim of this paper is to demonstrate how temporal constraints can be used as a formalism in which temporal abstraction of concepts can be performed. To this end, in the first place, we introduce the fuzzy temporal constraint network as the formalism for representing temporal information. Then, we present an algorithm for obtaining a state representation from a sequence of observations. We show the complexity and applicability of the approach.
机译：在医学等领域，很明显需要提供有关数据演变的高级描述。为了能够执行诸如诊断或监视之类的任务，促进时间数据的高级表示和管理非常重要。通过这种表示，可以获得两个主要好处：将数据与通用知识进行比较变得容易，并且可以减少数据量。已经提出了几种用于时间表示和管理的模型。在存在时间不精确或数据丢失的问题中，时间约束已被广泛用作可靠模型。当手动收集数据或数据基于主观观察时，通常会出现不精确的情况。本文的目的是演示如何将时间约束用作形式化，其中可以执行概念的时间抽象。为此，首先，我们引入模糊时间约束网络作为表示时间信息的形式。然后，我们提出了一种用于从一系列观察中获取状态表示的算法。我们展示了该方法的复杂性和适用性。

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