基于大数据环境的语义++计算研究

Ye Liang, Guigang Zhang, Chunxiao Xing, Yong Zhang, C. Li
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摘要

随着云计算和物联网的发展,越来越多的数据密集型应用应运而生。对于这些数据密集型应用来说,处理大数据是非常重要的。本文对大数据和语义++计算的基本概念进行了分析。包括大数据的定义、语义计算和语义++计算。本文对基于大数据的语义++理解进行了详细的分析。主要包括大数据资源的语义++存储、大数据资源的语义++信息获取、语义++资源管理、大数据的语义++处理、大数据的语义++服务、大数据的语义++安全与隐私、基于大数据的语义++接口与应用。提出了两种语义++应用。本文分析了一个语义++搜索与推荐系统框架。最后,仿真实验表明,语义++搜索和推荐方法比传统方法效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Semantic++ Computing Based on Big Data Environment
With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make a detail analysis about the semantic++ understanding based on big data. It mainly includes semantic++ storage of big data resources, semantic++ information acquirement of big data resources, semantic++ resources management, semantic++ processing of big data, semantic++ service of big data, semantic++ security and privacy of big data, semantic++ interface and applications based on big data. Two kinds of semantic++ applications are proposed. In this paper, a semantic++ search and recommendation system framework is analyzed. Finally, the simulation experiment shows that the semantic++ search and recommendation method is more efficient than the traditional method.
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