基于云计算的语义聚类系统

Hmway Hmway Tar, Zay Ya Zaw
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引用次数: 1

摘要

本文提出了一种应用云技术解决系统性能问题的文档聚类新方法。提供精确的信息是云计算应用服务的关键。本体服务是通过适当的语义模型和语义技术有效处理语义模糊和信息过载问题的方法之一。本系统是我们之前发布的系统的高级扩展版本。实验结果表明,测试文件增加了;该系统实际上可能能够为文本文档聚类产生有用的结果。在本文中,我们提出了一种基于本体的云服务识别技术,以提高云服务搜索的准确性。我们的方法具有从云服务源执行云服务概念的能力。我们的方法背后的主要思想是使用基于本体的技术的云服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic based clustering system with cloud computing
This paper presented a novel approach for document clustering applying cloud technologies for the system's performance issue. It is critical for application service in cloud computing to provide precise information. Ontology servicing is one of the methods to deal with semantic ambiguity and information overload efficiently through appropriate semantic models and semantic technology. This system is the advanced and extended version of the system we have been published before. The experiments reveal that even the testing documents increased; the system may actually be able to produce useful result for text document clustering. In this paper, we propose a cloud service that exploits a novel ontology-based technique for identifying cloud service to improve the accuracy of cloud services searching. Our approach has the capability to perform cloud service concepts from cloud service sources. The main idea behind our method is cloud services using an ontology-based technique.
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