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首页> 外文期刊>International journal of web services research >Result Refinement in Web Services Retrieval Based on Multiple Instances Learning
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Result Refinement in Web Services Retrieval Based on Multiple Instances Learning

机译：基于多实例学习的Web Services检索结果细化

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摘要

Web services retrieval is a critical step for reusing existing services in the SOA paradigm. In the UDDI registry, traditional category-based approaches have been used to locate candidate services. However, these approaches usually achieve relatively low precision because some candidate Web Services in the result set cannot provide actually suitable operations for users. In this article, we present a new approach to improve this kind of category-based Web Services retrieval process that can refine the coarse matching results step by step. The refinement is based on the idea that operation specification is very important to service reuse. Therefore, a Web Service is investigated via multiple instances view in our approach, which indicates that a service is labeled as positive if and only if at least one operation provided by this service is usable to the user. Otherwise, it is labeled as negative. Experimental results demonstrate that our approach can increase the retrieval precision to a certain extent after one or two rounds of refinement.
机译：Web服务检索是重用SOA范例中的现有服务的关键步骤。在UDDI注册中心中，已使用基于传统类别的方法来定位候选服务。但是，这些方法通常达到相对较低的精度，因为结果集中的某些候选Web服务无法为用户提供实际合适的操作。在本文中，我们提出了一种新的方法来改进这种基于类别的Web服务检索过程，该过程可以逐步完善粗略匹配结果。改进基于这样的思想，即操作规范对于服务重用非常重要。因此，在我们的方法中，Web服务是通过多个实例视图进行调查的，这表明当且仅当该服务提供的至少一项操作对用户可用时，该服务才被标记为肯定。否则，它被标记为负。实验结果表明，经过一轮或两轮优化后，我们的方法可以在一定程度上提高检索精度。

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