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A software framework for automatic Web service discovery based on a hybrid matchmaker

机译:基于混合匹配制造商的自动Web服务发现软件框架

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As a large amount of Web services are made available today, the need for a sophisticated and fully automated discovery mechanism becomes a crucial task. Existing syntactic keywords based discovery techniques fail to recognize similarities between Web services capabilities and thus have a very limited search scope. To address this issue we propose in this paper a novel discovery framework based on logical, lexical and corpus reasoning. Our proposed framework employs some computational linguistics techniques to format and extract useful semantic information from user query expressed in natural English language. It also performs a hybrid matchmaking that combines several semantic similarity techniques to efficiently discover the most appropriate services to user requirements. We implemented our proposed approach in a prototype system called OWLS-LLCR.
机译:由于今天提供了大量的Web服务,因此对复杂和全自动发现机制的需求成为一个重要任务。基于语法关键字的发现技术未能识别Web服务功能之间的相似性,因此具有非常有限的搜索范围。要解决此问题,我们提出了一种基于逻辑,词汇和语料库推理的新型发现框架。我们所提出的框架采用一些计算语言学技术来格式化和从自然英语中表达的用户查询中提取有用的语义信息。它还执行一个混合匹配,它结合了多种语义相似性技术,以有效地发现最适合用户要求的服务。我们在称为OWLS-LLCR的原型系统中实现了我们提出的方法。

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