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Integrating Abductive Logic Programming and Description Logics in a Dynamic Contracting Architecture

机译:在动态收缩架构中集成绑架逻辑编程和描述逻辑

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In semantic Web technologies, searching for a service means to identify components that can potentially satisfy the user needs in terms of outputs and effects (discovery), and that, when invoked by the customer, can fruitfully interact with her (contracting). In this paper, we present an application framework that encompasses both the discovery and the contracting steps, in a unified search process. In particular, we accommodate service discovery by ontology-based reasoning, and contracting by automated reasoning about policies published in a formal language. To this purpose, we consider a formal approach grounded on computational logic, and abductive logic programming in particular. We propose a framework, called SCIFF reasoning engine, able to establish, by ontological and abductive reasoning, if a semantic Web service and a requester can fruitfully inter-operate, taking as input the behavioral interfaces of both the participants, and producing as output a sort of a contract.
机译:在语义Web技术中,搜索服务意味着识别可以在输出和效果(发现)方面可能满足用户需求的组件,并且当客户调用时,可以与她果断地互动(收缩)。在本文中,我们介绍了一个应用程序框架,包括在统一的搜索过程中的发现和缔约步骤。特别是,我们通过基于本体的推理,通过自动推理在正式语言发布的政策的自动推理和签订合同。为此目的,我们考虑一种在计算逻辑的正式方法,特别是绑架逻辑编程。我们提出了一个框架,称为Sciff推理引擎,能够通过本体论和绑架推理建立,如果语义Web服务和请求者可以果断地进行效果互动,请作为输入参与者的行为接口,并产生输出A.排序的合同。

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