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中文摘要：
随着面向服务思想在业务领域的不断应用，服务的数量急剧增加，海量业务服务形成了一个庞大复杂的业务网络，服务间的动态组合和协作形成了面向服务的业务生态系统，为了高效地进行服务选择，充分发挥服务关联对于服务选择和组合的重要作用，提出了一种支持服务应用关联的服务选择方法。基于服务选择历史信息构建服务关联网络；基于服务关联网络，建立支持服务应用关联的服务选择目标规划模型，并采用遗传算法对所建模型进行求解。通过实验进行了算例分析，验证了所提方法的可行性和有效性。
英文摘要：
With wild application of the service-oriented thinking in business area, the service quantity increased rapid- ly, thus a large comlicate business network was formed. Through these dynamic collaboration between services, a Services-Oriented Business Ecosystem（SOBE）was put forward. To selecting service effectively and playing correla- tive relationship between services fully, a service selection method supporting service relation was proposed. History information was selected to construct service relation network based on service. A relation network-based service se- lection goal programming model supporting applicated assocation was set up, and genetic algorithm was used to solve the proposed model. A experiment was designed to verify the effectiveness and feasihilitv of nrnnn~ocl mothnrt
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Effective Service Composition in Large Scale Service Market: An Empirical Evidence Enhanced Approach
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