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An End-to-End Configuration-Based Framework for Automatic SWS Composition

机译：基于端到端配置的自动SWS组成框架

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摘要

Semantic Web Service (SWS) composition is a challenging AI problem. We describe a theoretical and experimental framework based upon finite model search for constrained object models to address this problem. In many AI situations the input is rather simple, and the results complex to obtain. SWS composition requests themselves can turn very complex, and the problem of building these requests can be viewed as an AI problem of its own. This paper presents an operational end to end approach to composing/publishing Semantic Web Services involving two main reasoning stages. Composing is first performed at the abstract level of goals (each roughly representing a discovery request), which yields a composition request at the workflow level. The resulting worklow is finally processed to generate a valid publishable semantic web service. We present experimental results obtained on industrial use cases during the DIP project.
机译：语义Web服务（SWS）组成是一个具有挑战性的AI问题。我们根据有限型号搜索受限的对象模型来描述一个理论和实验框架来解决这个问题。在许多AI情况下，输入相当简单，结果复杂。 SWS构成要求自己可以转变非常复杂，并且建立这些请求的问题可以被视为自己的AI问题。本文介绍了涉及两个主要推理阶段的组合/发布语义Web服务的最终方法的运行端。首先在抽象的目标水平（每个粗略代表发现请求）的目标水平（每个粗略代表发现请求）进行编写，这在工作流程级别产生了组合请求。最终处理生成的工作单以生成有效的可发布语义Web服务。我们在DIP项目期间提出了在工业用例获得的实验结果。

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