Google based hybrid approach for discovering services

Shailja Sharma, J. Lather, M. Dave
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引用次数: 5

Abstract

The Current description standards for Web Services such as WSDL and UDDI have a significant drawback of being restricted to the syntactic aspects of service. A service provider registers a service in the universal repository i.e. UDDI so that the service consumers can search and discover the required service that meets the user functional requirements from thousands of registered services. Matching the user request with all services in a particular category of the repository is a cumbersome task. Semantic approaches are required to further assist the user in discovering relevant services. In this paper, we have proposed a semantic approach that gives ranked list of services based on the web based relatedness score and helps the users in the selection of potentially relevant and semantically similar services within a category. The proposed approach has been implemented on 80 OWLS services and the results have shown that the approach gives ranked list of services with ease of the selection process for the user.
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基于Google的发现服务的混合方法
Web服务的当前描述标准(如WSDL和UDDI)有一个明显的缺点,即局限于服务的语法方面。服务提供者在通用存储库(即UDDI)中注册服务,以便服务使用者可以从数千个已注册的服务中搜索和发现满足用户功能需求的所需服务。将用户请求与存储库特定类别中的所有服务相匹配是一项繁琐的任务。需要使用语义方法进一步帮助用户发现相关服务。在本文中,我们提出了一种语义方法,该方法基于基于web的相关性评分给出服务的排名列表,并帮助用户在一个类别中选择潜在的相关和语义相似的服务。该方法已在80个owl服务上实现,结果表明,该方法为用户提供了易于选择的服务排序列表。
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