所以，语义网格在垃圾邮件过滤领域的研究应用具有很强的理论意义和应用价值。
Therefore, the research on spam filtering based on semantic grid has a strong theoretical significance and application value.
本文以增强语义信息，提高搜索的查全率和查准率为目标，设计了基于语义网格的垃圾邮件过滤模块。
To enhance recall ratio and precision ratio of information retrieval, the paper designs the model of spam filtering based on semantic grid.
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.
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.
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.
语义web和网格技术都需要定义资源及其之间的关系，使应用程序能够使用不同的信息，并且可以把数据捆绑在一起。
The Semantic Web and Grid technologies both rely on the definition of resources and relationships to enable applications to make use of the different pieces of information and bond that data together.
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.
该网格结构有助于实现电子商务自动化及基于语义的软件集成。
This grid architecture may facilitate us implementing E-commerce automation and semantic-based system composition.
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.
网格节点从大型主机扩展到小型智能设备，并要求支持语义和基于知识的互操作。
Grid nodes are experiencing an extension from supercomputers to smart mobile devices, and requiring semantic support and knowledge-based cooperation.
为了更好地解决网格系统中的访问控制问题，本文从网格系统的动态性和异构性出发，提出了一种新的基于语义技术的网格访问控制方法。
To address this thesis, this paper focuses on the dynamic and heterogeneous characteristic of Grid, and presents a new access control method based on semantic technology.
针对网格中语义数据的按需访问问题，提出了基于本体的语义数据融合方法OSDF。
This paper deals with the semantic data access on demand in the grid environment and proposes a novel ontology-based semantic data fusion method named OSDF.
然后讨论其数据访问机制，即扩展XML代数来支持基于语义的数据访问。 最后介绍一种支持语义的网格通信机制及其通信原语。
The extension of XML algebra with semantic query enhanced and semantic grid communication mechanism are also discussed to enable semantic accessing on data grid environment.
然后讨论其数据访问机制，即扩展XML代数来支持基于语义的数据访问。 最后介绍一种支持语义的网格通信机制及其通信原语。
The extension of XML algebra with semantic query enhanced and semantic grid communication mechanism are also discussed to enable semantic accessing on data grid environment.
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