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首页> 外文期刊>Network Modeling Analysis in Health Informatics and Bioinformatics >A new approach for enhancing managing and querying Web services communities: health care case study
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A new approach for enhancing managing and querying Web services communities: health care case study

机译：增强管理和查询Web服务社区的新方法：医疗保健案例研究

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摘要

Collaborative environments in recent years, such as bioinformatics and health care, have seen an increasing interest in Web services communities. The new concept was proposed and widely accepted as a distributed paradigm over the Internet, and has been used widely even in collaborative fixture design and manufacture. Indeed, the community infrastructure contributes to improving the availability of Web services through providing a centralized access to distributed Web services. However, the organization into communities raises many challenges related to communities' management and querying. In order to cover the mentioned aspects, we propose in this work, an approach which offers a user-interaction-based solution to deal with the services communities' management problem. The proposed method tackles how Web services community can be re-engineered based on the user-interaction patterns. It is intended to minimize the gap between the user's expectations when visiting and using a Web services community as well as the designers' point of view used for modeling the community. Then, we enhance the querying process of the Web services communities. The proposed solution is based on endowing the community with a semantic cache. We show how the health care Web services community's members can considerably take advantage of the semantic cache while processing a query.
机译：近年来，诸如生物信息学和医疗保健之类的协作环境对Web服务社区越来越感兴趣。新概念被提出并被广泛接受为Internet上的分布式范例，甚至在协同夹具设计和制造中也已广泛使用。实际上，社区基础结构通过提供对分布式Web服务的集中访问，为提高Web服务的可用性做出了贡献。但是，组织为社区带来了许多与社区管理和查询有关的挑战。为了涵盖上述方面，我们在这项工作中提出了一种方法，该方法提供了一种基于用户交互的解决方案来处理服务社区的管理问题。所提出的方法解决了如何基于用户交互模式来重新设计Web服务社区。旨在最大程度地减少访问和使用Web服务社区时用户的期望与用于建模社区的设计者的观点之间的差距。然后，我们增强了Web服务社区的查询过程。所提出的解决方案基于赋予社区语义语义的缓存。我们展示了医疗保健Web服务社区的成员如何在处理查询时充分利用语义缓存。

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