使用OWL的上下文感知工作流建模方法

Pengfei Wang, Huifang Li, Baihai Zhang
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引用次数: 5

摘要

上下文感知工作流系统可以根据现实世界的变化来调整自己的行为,而现实世界的变化通常是由大量的传感器收集的。因此,上下文感知工作流的建模是上下文感知工作流系统的关键问题,因为上下文信息往往是多变和复杂的。为了更好地描述业务流程中的上下文信息,本文提出了一种基于owl (Web Ontology Language)的方法来建模上下文感知工作流。上下文模型和过程模型元素是基于OWL定义的,因此它不仅可以将业务过程中涉及的上下文信息表示为OWL,还可以将相应的工作流控制项表示为OWL。设计了使模型更加规范化的建模规则。案例研究和分析表明,我们的方法具有良好的适应性,可以很容易地用于描述任何复杂的上下文感知工作流。
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Context-aware workflow modeling approach using OWL
Context-aware workflow systems can adapt their behavior based on the changes of real world, which is often gathered by a big amount of sensors. Thus, the modeling of context-aware workflow is the key issue in context-aware workflow systems, because context information is often varied and complex. To better describe context information in business processes, this paper proposes an OWL-based (Web Ontology Language) approach to model context-aware workflows. The context model and process model elements is defined based on OWL, so it can not only express the context information involved in business processes but also the corresponding workflow control items as OWL. The modeling rules which make the model more normalized are also designed. Case study and analysis show that our approach has good adaptability, and can be used to easily describe any sophisticated context-aware workflows.
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