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中文摘要：
与在格子环境的服务的爆炸，开发有高效地发现合适的格子服务的能力的机制是必要的。这篇论文试图基于分类服务进不同领域的地区原则建立一个分层的资源管理模型；虚拟组织(VO ) 根据他们的分享的目的。我们建议本体论基于为描绘语义信息使用本体论理论的搜索方法。另外，我们在查询扩大 UDDI，存储，；那么上。模拟实验证明了我们的机制在精确完成高效，召回；查询反应时间。
英文摘要：
With the explosion of services in grid environment, it＇s necessary to develop a mechanism which has the ability of discovering suitable grid services efficiently. This paper attempts to establish a layered resource management model based on the locality principle which classifies services into different domains and virtual organizations （VOs） according to their shared purposes. We propose an ontologybased search method applying the ontology theory for characterizing semantic information. In addition, we extend the UD- D1 in querying, storing, and so on. Simulation experiments have shown that our mechanism achieves higher performance in precision, recall and query response time.
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Using Page Classification and Association Rule Mining for Personalized Recommendation in Distance Le
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