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Automated Composition of Semantic Web Services Using Case-Based Planning

机译:使用基于案例的规划的语义Web服务自动组成

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One of the most challenging issues of service-centric software engineering is the automatic composition of services. In academia, most approaches reduce the service composition problem to the AI planning problem and generate a plan for the user's request from scratch. However in the real world there may be a large amount of same or similar requests, so how to adapt the existing solutions for the past requests to functionally fit for the current same or similar ones becomes a new challenge in the context of semantic Web services. In our study, we propose an approach for automated composition of semantic Web services based on case-based planning. The generated plan can have sequential and non-sequential control constructs. Additionally, a case study from the bioinformatics domain is given to illustrate our approach.
机译:以服务为中心的软件工程最具挑战性的问题之一是自动的服务组成。在学术界,大多数方法都将服务成分问题减少到AI规划问题,并从头开始生成用户请求的计划。然而,在现实世界中,可能存在大量相同或相似的请求,因此如何使现有的解决方案适应过去请求在功能上适合其相同或相似的请求成为语义Web服务的上下文中的新挑战。在我们的研究中,我们提出了一种基于基于案例的规划的语义Web服务自动组成的方法。所生成的计划可以具有顺序和非顺序控制构造。另外,给出了生物信息域的案例研究来说明我们的方法。

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