通过语义Web服务的自动选择和调用来支持上下文感知过程

S. Dietze, A. Gugliotta, J. Domingue
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引用次数: 5

摘要

当前旨在支持流程的技术——无论是业务流程还是学习流程——通常基于使用一组专用的元数据来描述流程,这些元数据指的是流程中使用的一些特定数据。流程元数据通常特定于标准规范——比如业务流程建模符号(BPMN)或IMS学习设计标准——而使用的流程数据则特定于特定的流程上下文。这些事实限制了流程模型跨不同标准和上下文的可重用性。为了克服这些问题,本文描述了一种创新的语义web面向服务的体系结构,旨在将这种基于数据和元数据的范式转变为高度动态的面向服务的方法,该方法遵循从过程元数据和过程数据中进行语义抽象的思想。这种方法能够动态适应特定的参与者需求和目标,并支持开发可跨不同上下文和标准重用的抽象语义过程模型。为了说明我们的方法的应用,我们描述了一个电子学习领域的原型应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services
Current technologies aimed at supporting processes - whether it is a business process or a learning process - are usually based on using a dedicated set of metadata to describe a process which refers to some specific data, used in the process. Process metadata is usually specific to a standard specification - like the Business Process Modeling Notation (BPMN) or the IMS Learning Design Standard - while used process data is specific to a specific process context. These facts limit the re-usability of a process model across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-oriented architecture aimed at changing this data- and metadata-based paradigm to a highly dynamic service-oriented approach following the idea of a semantic abstraction from process metadata as well as process data. This approach enables a dynamic adaptation to specific actor needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and standards. To illustrate the application of our approach, we describe a prototypical application to the domain of E-Learning.
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