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

机译:基于混合媒人的自动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:随着当今提供大量的Web服务,对复杂而全自动的发现机制的需求变得至关重要。现有的基于句法关键字的发现技术无法识别Web服务功能之间的相似性,因此搜索范围非常有限。为了解决这个问题,我们在本文中提出了一种基于逻辑,词汇和语料库推理的新颖发现框架。我们提出的框架采用了一些计算语言学技术来格式化和从以自然英语表达的用户查询中提取有用的语义信息。它还执行混合匹配,结合了几种语义相似性技术,可以有效地发现最适合用户需求的服务。我们在称为OWLS-LLCR的原型系统中实施了我们提出的方法。

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