为了使垃圾邮件过滤更加系统化、完整化,并在此研究的基础上进一步设计了应用在垃圾邮件过滤领域的语义网格服务模型,进而形成一个完整的垃圾邮件过滤系统。
And on the basis of research, it further exploits the system of semantic grid service model applying for spam filtering which enable the spam filtering more systematization and more integration.
当前的网格环境将名字作为关键字对服务信息进行查找,缺乏机器可理解的语义信息,难以提供有效的智能服务。
The current grid environment sets name as a keyword to find information on services. It lacks machinery understandable semantic information to provide an effective intelligence service.
面对这一挑战,文章提出构建知识元语义网格平台,实现以知识元为知识单位的知识发现服务体系结构。
Affront this challenge, the new problem of knowledge element Semantic Grid of the platform of knowledge service and knowledge discovery is the design.
研究制造网格中基于语义的服务表示,在此基础上提出了一种基于语义的逆向递归服务自动组合方法。
Studies semantic based representation of Manufacturing Grid (MG) service, and then proposes a backward recursive approach for automatic service composition.
在网格中要实现更加准确有效的服务发现、查询及其动态分配和替换,需要在语法匹配的基础上进一步实现语义匹配。
For better efficiency and accuracy, it needs semantic match between grid services to implement the service discovery, the service query, and the dynamic allocation and replacement of service.
当前网格应用主要集中在计算网格、数据网格、语义网格、信息网格、知识网格、服务网格以及着重于家庭网络的设备网格等方面。
Currently, Grid application mainly concentrates on Computational Grid, Data Grid, Semantic Grid, Information Grid, Knowledge Grid, Service Grid and Equipment Grid, etc.
当前网格应用主要集中在计算网格、数据网格、语义网格、信息网格、知识网格、服务网格以及着重于家庭网络的设备网格等方面。
Currently, Grid application mainly concentrates on Computational Grid, Data Grid, Semantic Grid, Information Grid, Knowledge Grid, Service Grid and Equipment Grid, etc.
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