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A novel non-functional matchmaking approach between fuzzy user queries and real world web services based on rough sets

机译:基于粗糙集的模糊用户查询与现实世界Web服务之间的新颖非功能匹配方法

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摘要

We propose in this paper a novel matchmaking approach between fuzzy user queries and real world Web services. The matchmaking spans over a domain dependent classification step that produces fuzzy classification rules for Web services. The elaborated rules leverage a core set of non-functional quality attributes, which is extracted using rough sets theory. Furthermore, these rules are leveraged to classify Web services into categories, which allows reducing the matchmaking space. The experimental results show that our proposed matchmaking approach provides good results in terms of efficiency and precision.
机译:在本文中,我们提出了一种在模糊用户查询和真实Web服务之间进行匹配的新颖方法。对接会跨越一个域相关的分类步骤,该步骤为Web服务生成模糊的分类规则。精心制定的规则利用了非功能质量属性的核心集,这些属性是使用粗糙集理论提取的。此外,利用这些规则将Web服务分类,从而可以减少匹配空间。实验结果表明,我们提出的配对方法在效率和精度方面都提供了良好的结果。

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