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RESP: A Computer Aided OWL REasoner Selection Process

机译:resp:计算机辅助猫头鹰推理选择过程

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Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become inadequate with the increasing adoption of Semantic Web technologies in applications from different domains and the rapid development of OWL reasoning technologies. This work proposes RESP, a computer aided reasoner selection process designed to perform reasoner selection for different applications and so reduce the effort and communication overhead required to select the most appropriate reasoner. Preliminary evaluation results show that RESP successfully helps application developers to select the most appropriate reasoner, or at least narrow down the number of candidate reasoners to consider. Contributions of this work are two folds: (1) the design of a (relatively simple but useful) computer aided OWL reasoner selection process, and (2) the identification and discussion of a set of example application characteristics that can affect the OWL reasoner selection.
机译:为不同语义应用选择最合适的接受者的现有方法主要依赖于应用程序开发人员和推理专家之间的讨论。然而,随着来自不同领域的应用中的语义网络技术以及猫头鹰推理技术的快速发展,这种方法将变得不足。这项工作提出了一种计算机辅助推销商选择过程,旨在为不同的应用程序进行推理选择,从而减少选择最合适的推理所需的努力和通信开销。初步评估结果表明,RESP成功帮助应用程序开发人员选择最合适的推理,或者至少缩小候选人推理员的数量。这项工作的贡献是两倍:(1)设计(相对简单但有用)的计算机辅助猫头鹰推理选择过程,以及(2)识别和讨论可以影响猫头鹰推理选择的一组示例应用特征。

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