A framework for management of massive knowledge in cloud environment

机译：云环境中大规模知识管理框架

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摘要

The word “Cloud” has become more and more popular these days. One of its applications, Cloud for manufacturing, is also proposed as we called Cloud Manufacturing. It is realized by setup a public service cloud platform which shares manufacturing resources and knowledge. As the big data era comes, the amount of both resources and knowledge in the platform may increase much more rapidly than ever before. Thus, new ways to collect and analyze knowledge and other resources should be found to guarantee the efficiency of the whole platform. In this paper, a framework for collecting, storing and analyzing massive knowledge in cloud environment is proposed. It gives different ways to collect knowledge, and how to store and analyze massive knowledge with distributed system.

机译：这些天“云”这个词已经变得越来越受欢迎。它的一个应用程序，制造的一个云也被提出，因为我们称为云制造。它通过设置公共服务云平台来实现，该平台共享制造资源和知识。随着大数据的来源，平台中的资源和知识的数量可能比以往任何时候都迅速增加。因此，应发现收集和分析知识和其他资源的新方法来保证整个平台的效率。本文提出了一种用于收集，存储和分析云环境中大规模知识的框架。它给出了收集知识的不同方式以及如何使用分布式系统存储和分析大规模知识。

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《International Conference on BioMedical Engineering and Informatics》|2014年||共5页
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作者
Chaoshi Wang; Chun Zhao; Lin Zhang;
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正文语种
中图分类生物医学工程;
关键词
Big Data; cloud computing; knowledge management; manufacturing industries; resource allocation; Big Data; cloud environment; cloud manufacturing; distributed system; manufacturing knowledge sharing; manufacturing resource sharing; massive knowledge management; massive-knowledge analysis; massive-knowledge collection; massive-knowledge storage; public service cloud platform; resource analysis; resource collection; Big data; Computational modeling; Data models; Educational institutions; Manufacturing processes; Materials; big data; cloud environment; distributed system; knowledge;

机译：大数据;云计算;制造业;资源分配;大数据;云环境;云制造;分布式系统;制造知识共享;制造资源共享;大规模知识分析;大规模知识分析;巨大 - 知识存储;公共服务云平台;资源分析;资源集合;大数据;计算建模;数据模型;教育机构;制造过程;材料;大数据;云环境;云环境;知识;

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