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A Trace Analysis Based Approach for Modeling Context Components

机译:基于跟踪分析的上下文组件建模方法

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The context is the set circumstances that surround an event or object as reminded by [1]. According to this definition, taking the context into account when analyzing an activity would require having at one's disposal information describing the circumstances that surround each object concerned by this activity. This information is, by definition, difficult to describe precisely at the beginning of the analysis and must be progressively defined during the analysis process. We propose to gradually define the context information surrounding objects concerned by the activity, based on the interactive learning of activity traces, revisited by successive interpretations during the analysis. The context model of the components proposed by will be considered as the basis to define the activity components, which are the objects concerned by the activity. The approach by interactive discovery of knowledge from activity traces should allow to discover the values of these components but also new knowledge specific to the observed activity. This approach allows us to dynamically build the context useful to the activity analysis. This methodology will be applied in the field of transportation to determine the impact of driving behaviors on fuel consumption.
机译:上下文是围绕事件或对象的设置环境,如[1]所提醒。根据此定义,在分析一项活动时要考虑到上下文,将需要掌握描述该活动所涉及的每个对象周围情况的信息。根据定义,此信息很难在分析开始时准确描述,并且必须在分析过程中逐步定义。我们建议根据活动轨迹的交互学习逐步定义活动相关对象周围的上下文信息,并在分析过程中逐次解释。提议的组件的上下文模型将被视为定义活动组件的基础,活动组件是活动所关注的对象。通过从活动跟踪中交互式发现知识的方法,应允许发现这些组件的值,也可以发现特定于所观察到的活动的新知识。这种方法使我们能够动态构建对活动分析有用的上下文。该方法将应用于交通领域,以确定驾驶行为对燃油消耗的影响。

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