Scientific and Technical Literature Retrieval Based on Cloud

被引：0
|
作者：
Chen, Y. J. [1 ]
Wang, F. [1 ,2 ]
Deng, H. [1 ]
机构：
[1] Kunming Univ Sci & Technol, Yunnan Comp Technol Applicat Key Lab, Kunming, Peoples R China
[2] Chinese Acad Sci, Yunnan Astron Observ, Kunming, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY (AMEIT 2015) | 2015年
关键词：
cloud computing; distributed technology; retrieval; map/reduce; MAPREDUCE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid growth of resources, how to make massive literature retrieval effectively has become a problem to be solved. In this paper, we mainly introduced and analyzed the retrieval methods, such as the parallel retrieval, the distributional retrieval, the semantic retrieval and the parallel massive data retrieval. In addition, we also gave the advantages and disadvantages of them. Through the analysis and research, we find that the semantic search based on cloud computing has advantages in terms of accuracy, but the distributed retrieval and the parallel massive retrieval based on Map/Reduce can have higher efficiency. We hope to find a method that can balance the accuracy with efficiency through combine the existing methods.
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收藏
页码：868 / 875
页数：8
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