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首页> 外文期刊>International Journal of Knowledge Engineering and Data Mining >A conceptual graph approach to semantic similarity computation method for e-service discovery
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A conceptual graph approach to semantic similarity computation method for e-service discovery

机译:电子服务发现语义相似度计算方法的概念图方法

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摘要

E-services are services that make themselves available on the web and can be invoked over the internet. These services can be composed together to form new services. With the great growth of the number of services on the web it is indispensable to adopt an effective and efficient way to discover and compose them to meet the users' requirements. However, current web services description languages such as WSDL and OWL-S do not provide semantic support for automatic search and composition of services. In this paper, based on the Conceptual Graph theory, we propose a contextual based conceptual model for automatic search and match for services using two kinds of contextual information - service characteristics and inter-service semantic relations. We explore the theoretical models for inter-service and service characteristics semantic similarity computation to match users' service queries and based on the conceptual model we present an effective service matching algorithm.
机译:电子服务是可以在网上使用的服务,可以通过互联网调用。这些服务可以组合在一起形成新的服务。随着网络上服务数量的巨大增长,采用有效和高效的方式来发现和组合服务以满足用户需求是必不可少的。但是,当前的Web服务描述语言(例如WSDL和OWL-S)不为服务的自动搜索和组合提供语义支持。在本文中,基于概念图理论,我们提出了一种基于上下文的概念模型,用于使用两种上下文信息(服务特征和服务间语义关系)自动搜索和匹配服务。我们探索了服务间和服务特征语义相似度计算的理论模型,以匹配用户的服务查询,并在概念模型的基础上提出了一种有效的服务匹配算法。

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