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sslGolog: When conditional compositions of web services meet semantic links and causal laws

机译:sslGolog:当Web服务的条件组合满足语义链接和因果律时

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摘要

Web service composition enhanced by semantic technologies is currently one of the most hyped and addressed issues in Service Oriented Computing. This work focuses on both i) conditional composition, i.e., how to automate the composition of services that produces non-deterministic outcomes, and ii) consistent connections between web services (also known as data flows) in the composition. To this end, we suggest the joint use of semantic links and causal laws, respectively, in the area of Description Logics and AI planning. In more detail, an augmented and adapted version of the logic programming language Golog, i.e., sslGolog, is presented as a natural formalism not only for reasoning about the latter semantic links and causal laws, but also for automatically composing non-deterministic services. sslGolog operates as an offline interpreter that supports not only binary but also n-ary sensing services (i.e., services conditioned on their possible output parameters) to achieve conditional compositions of services. Lastly, sslGolog has been implemented and tested in the context of Telecommunication scenarios.
机译:通过语义技术增强的Web服务组合目前是面向服务的计算中最受关注和解决的问题之一。这项工作着重于以下两个方面:i)有条件的组合,即如何自动化产生不确定性结果的服务的组合,以及ii)组合中Web服务之间的一致连接(也称为数据流)。为此,我们建议在描述逻辑和AI计划领域分别使用语义链接和因果律。更详细地,逻辑编程语言Golog的增强和改编版本,即sslGolog,被作为一种自然的形式主义提出,不仅用于推理后者的语义链接和因果律,而且还用于自动组合非确定性服务。 sslGolog作为脱机解释器运行,它不仅支持二进制而且支持n元感知服务(即以其可能的输出参数为条件的服务)以实现服务的条件组合。最后,sslGolog已在电信场景中实现和测试。

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