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Facilitating Web service discovery and publishing: A theoretical framework, a prototype system, and evaluation.

机译:促进Web服务发现和发布:理论框架,原型系统和评估。

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摘要

The World Wide Web is transitioning from being a mere collection of documents that contain useful information toward providing a collection of services that perform useful tasks. The emerging Web service technology has been envisioned as the next technological wave and is expected to play an important role in this recent transformation of the Web. By providing interoperable interface standards for application-to-application communication, Web services can be combined with component-based software development to promote application interaction and integration within and across enterprises. To make Web services for service-oriented computing operational, it is important that Web services repositories not only be well-structured but also provide efficient tools for an environment supporting reusable software components for both service providers and consumers. As the potential of Web services for service-oriented computing is becoming widely recognized, the demand for an integrated framework that facilitates service discovery and publishing is concomitantly growing.; In our research, we propose a framework that facilitates Web service discovery and publishing by combining clustering techniques and leveraging the semantics of the XML-based service specification in WSDL files. We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the Web service domain. Our proposed approach has several appealing features: (1) It minimizes the requirements of prior knowledge from both service providers and consumers, (2) It avoids exploiting domain-dependent ontologies, (3) It is able to visualize the information space of Web services by providing a category map that depicts the semantic relationships among them, (4) It is able to semi-automatically generate Web service taxonomies that reflect both capability and geographic context, and (5) It allows service consumers to combine multiple search strategies in a flexible manner.; We have developed a Web service discovery tool based on the proposed approach using an unsupervised artificial neural network and empirically evaluated the proposed approach and tool using real Web service descriptions drawn from operational Web services repositories. We believe that both service providers and consumers in a service-oriented computing environment can benefit from our Web service discovery approach.
机译:万维网正在从仅包含有用信息的文档集合过渡到提供执行有用任务的服务集合。新兴的Web服务技术已被视为下一波技术浪潮,并有望在Web的最新转型中发挥重要作用。通过为应用程序到应用程序的通信提供可互操作的接口标准,Web服务可以与基于组件的软件开发相结合,以促进企业内部和企业之间的应用程序交互和集成。为了使面向服务的计算的Web服务可操作,重要的是,Web服务存储库不仅必须具有良好的结构,而且还应为环境提供有效的工具,以支持服务提供商和使用者可重用的软件组件。随着Web服务在面向服务的计算中的潜力得到广泛认可,对促进服务发现和发布的集成框架的需求也随之增长。在我们的研究中,我们提出了一个框架,该框架通过组合集群技术并利用WSDL文件中基于XML的服务规范的语义来促进Web服务的发现和发布。我们认为,这是在Web服务域中应用基于无监督的基于人工神经网络的机器学习技术的首次尝试之一。我们提出的方法具有几个吸引人的特征:(1)最小化服务提供商和消费者的先验知识要求;(2)避免利用依赖领域的本体;(3)能够可视化Web服务的信息空间通过提供描述它们之间的语义关系的类别图,(4)能够半自动生成反映功能和地理环境的Web服务分类法,并且(5)允许服务使用者在一个目录中组合多个搜索策略。方式灵活。我们已经使用无监督的人工神经网络基于提出的方法开发了一种Web服务发现工具,并使用了从可操作的Web服务存储库中提取的真实Web服务描述来对所提出的方法和工具进行经验评估。我们相信,面向服务的计算环境中的服务提供者和使用者都可以从我们的Web服务发现方法中受益。

著录项

  • 作者

    Hwang, Yousub.;

  • 作者单位

    The University of Arizona.$bManagement Information Systems.;

  • 授予单位 The University of Arizona.$bManagement Information Systems.;
  • 学科 Information Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 278 p.
  • 总页数 278
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息与知识传播;
  • 关键词

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