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Modeling semantics in composite Web service requests by utility elicitation

机译:通过实用程序启发在复合Web服务请求中建模语义

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When meeting the challenges in automatic and semi-automatic Web service composition, capturing the user’s service demand and preferences is as important as knowing what the services can do. This paper discusses the idea of semantic service requests for composite services, and presents a multi-attribute utility theory (MAUT) based model of composite service requests. Service requests are modeled as user preferences and constraints. Two preference structures, additive independence and generalized additive independence, are utilized in calculating the expected utilities of service composition outcomes. The model is also based on an iterative and incremental scheme meant to better capture requirements in accordance with service consumers’ needs. OWL-S markup vocabularies and associated inference mechanism are used as a means to bring semantics to service requests. Ontology conceptualizations and language constructs are added to OWL-S as uniform representations of possible aspects of the requests. This model of semantics in service requests enables unambiguous understanding of the service needs and more precise generation of the desired compositions. An application scenario is presented to illustrate how the proposed model can be applied in the real business world.
机译:在应对自动和半自动Web服务组合中的挑战时,捕获用户的服务需求和偏好与了解服务可以做什么一样重要。本文讨论了组合服务的语义服务请求的思想,并提出了一种基于多属性效用理论(MAUT)的组合服务请求模型。服务请求被建模为用户偏好和约束。在计算服务组合结果的预期效用时,使用了两个偏好结构,即加性独立性和广义加性独立性。该模型还基于迭代和增量方案,旨在根据服务使用者的需求更好地捕获需求。 OWL-S标记词汇表和关联的推理机制用作将语义带入服务请求的方法。本体概念化和语言构造被添加到OWL-S中,作为请求可能方面的统一表示。服务请求中的语义模型可以明确理解服务需求,并可以更精确地生成所需的组合。提出了一个应用场景,以说明所提出的模型如何应用于实际的商业环境。

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