Semantics-Based Automated Service Discovery
Semantics-Based Automated Service Discovery
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DOI：
10.1109/tsc.2011.19
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发表时间：
2012
影响因子：
8.1
通讯作者：
Aabhas V. Paliwal;Basit Shafiq;Jaideep Vaidya;Hui Xiong;N. Adam
中科院分区：
文献类型：
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作者：
Aabhas V. Paliwal;Basit Shafiq;Jaideep Vaidya;Hui Xiong;N. Adam
绝大多数Web服务都存在，没有明确的相关语义描述。结果，在服务发现期间，许多与特定用户服务请求相关的服务可能不会考虑。在本文中，我们解决了符合特定服务请求的语义，我们解决了Web服务发现的问题。我们对基于语义的Web服务发现的方法涉及基于语义的服务分类和服务请求的语义增强。我们提出了一种基于本体框架来实现功能级服务分类的解决方案。此外，我们还利用聚类根据服务功能准确地对Web服务进行分类。基于语义的分类是在通用描述发现和集成（UDDI）上离线执行的。服务请求的语义增强可以与相关服务实现更好的匹配。服务请求增强涉及扩展与请求功能有关的其他条款（从本体中检索）。通过潜在的语义索引（LSI）实现了增强的服务请求与检索到的服务描述的有效匹配。我们的实验结果证明了所提出的方法的有效性和可行性。
A vast majority of web services exist without explicit associated semantic descriptions. As a result many services that are relevant to a specific user service request may not be considered during service discovery. In this paper, we address the issue of web service discovery given nonexplicit service description semantics that match a specific service request. Our approach to semantic-based web service discovery involves semantic-based service categorization and semantic enhancement of the service request. We propose a solution for achieving functional level service categorization based on an ontology framework. Additionally, we utilize clustering for accurately classifying the web services based on service functionality. The semantic-based categorization is performed offline at the universal description discovery and integration (UDDI). The semantic enhancement of the service request achieves a better matching with relevant services. The service request enhancement involves expansion of additional terms (retrieved from ontology) that are deemed relevant for the requested functionality. An efficient matching of the enhanced service request with the retrieved service descriptions is achieved utilizing Latent Semantic Indexing (LSI). Our experimental results validate the effectiveness and feasibility of the proposed approach.