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    杨艳萍 谭庆平. 一种有效的服务资源自动语义标注方法[J]. 计算机研究与发展, 2007, 44(1): 37-43.
    引用本文: 杨艳萍 谭庆平. 一种有效的服务资源自动语义标注方法[J]. 计算机研究与发展, 2007, 44(1): 37-43.
    Yang Yanping and Tan Qingping. An Effective Approach to Automatic Semantic Annotation for Service Resources[J]. Journal of Computer Research and Development, 2007, 44(1): 37-43.
    Citation: Yang Yanping and Tan Qingping. An Effective Approach to Automatic Semantic Annotation for Service Resources[J]. Journal of Computer Research and Development, 2007, 44(1): 37-43.

    一种有效的服务资源自动语义标注方法

    An Effective Approach to Automatic Semantic Annotation for Service Resources

    • 摘要: 在服务网格中,分布式网络计算的实现依赖于如何在OGSA下实现服务交互问题的有效解决.为此,服务接口必须采用机器可理解的方式描述,从而为网格服务的动态发现和组合提供底层支持.服务语义标注技术满足了上述需求,它提出使用共享域本体中机器可理解的元数据标注服务资源描述.提出了一种有效的服务资源自动语义标注方法,该方法将服务语义标注过程分解为域标注和概念标注两个阶段,重点针对域标注问题,提出了基于机器学习的域标注算法,对实际服务资源的标注实验验证了该算法的有效性.

       

      Abstract: In service grid, the implementation of distributed computing lies in the solution to the problem of how services interchange information. It is imperative that services interfaces be described in a machine understandable way, which can provide a semantic foundation for the dynamic discovery and composition of services. The technique of service semantic annotation satisfies this requirement, which refers to annotate service description using machine understandable metadata from shared domain ontologies. In this paper, an effective approach to automatic semantic annotation of services is presented. The process of service annotation is divided into two phases of ontology annotation phase and concept annotation phase. Emphasis is put on the solution to the problem of ontology annotation and a corresponding algorithm is presented based on machine learning. The experiments on the service resources in real world show that this algorithm is highly practical.

       

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