在链接数据环境中执行、监视和执行工作流
Specifying, Monitoring, and Executing Workflows in Linked Data Environments
摘要：
我们提出了一个本体表示工作流的组件读写关联数据接口，并通过规则语言的操作语义的本体。工作流语言已经成功地应用于企业信息系统中的行为建模，其中数据通常在关系数据库中进行管理。链接数据接口已被广泛部署在Web上，以支持非常不同领域的数据集成，越来越多地在涉及物联网的场景中，其中应用程序行为通常使用命令式程序设计语言指定。通过我们的工作，我们的目标是将工作流语言与关联数据相结合，工作流语言允许非专家用户对应用程序行为进行高级规范，关联数据允许分散的数据发布和集成的数据访问。我们表明，我们的本体是表达能力足以涵盖基本的工作流模式，并证明我们的方法与原型系统，观察飞行员在混合现实飞机驾驶舱执行任务的适用性。在楼宇自动化领域的综合基准测试中，运行时随物联网设备数量的大小线性扩展。
英文摘要：
We present an ontology for representing workflows over components with Read-Write Linked Data interfaces and give an operational semantics to the ontology via a rule language. Workflow languages have been successfully applied for modelling behaviour in enterprise information systems, in which the data is often managed in a relational database. Linked Data interfaces have been widely deployed on the web to support data integration in very diverse domains, increasingly also in scenarios involving the Internet of Things, in which application behaviour is often specified using imperative programming languages. With our work we aim to combine workflow languages, which allow for the high-level specification of application behaviour by non-expert users, with Linked Data, which allows for decentralised data publication and integrated data access. We show that our ontology is expressive enough to cover the basic workflow patterns and demonstrate the applicability of our approach with a prototype system that observes pilots carrying out tasks in a mixed-reality aircraft cockpit. On a synthetic benchmark from the building automation domain, the runtime scales linearly with the size of the number of Internet of Things devices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
