| 基于Hadoop的RDF数据存储及查询优化* |
| |
| 引用本文： | 徐德智,刘 扬,Sarfraz Ahmed.基于Hadoop的RDF数据存储及查询优化*[J].计算机应用研究,2017,34(2). |
| |
| 作者姓名： | 徐德智 刘 扬 Sarfraz Ahmed |
| |
| 作者单位： | 中南大学信息科学与工程学院,中南大学信息科学与工程学院,中南大学信息科学与工程学院 |
| |
| 基金项目： | 中南大学高校教师研究基金 |
| |
| 摘 要： |
|
| 关 键 词： | RDF RDF数据查询 MapReduce HBase 查询优化 |
| 收稿时间： | 2016/3/15 0:00:00 |
| 修稿时间： | 2016/12/24 0:00:00 |
Optimization of RDF data storage and query based on Hadoop[sub_s]*[sub_e] |
| |
| XuDezhi,Liu Yang and Sarfraz Ahmed.Optimization of RDF data storage and query based on Hadoop[sub_s]*[sub_e][J].Application Research of Computers,2017,34(2). |
| |
| Authors: | XuDezhi Liu Yang and Sarfraz Ahmed |
| |
| Affiliation: | School of Information Science and Engineering,Central South University,School of Information Science and Engineering,Central South University,School of Information Science and Engineering, Central South University |
| |
| Abstract: | With the rapid growth of RDF data, it has become a research hotspot for techniques based on distributed systems to store and manage them. In order to store and query large-scale RDF data with high efficiency, this paper discussed several methods based on Hadoop platform and then proposed a novel method towards optimization of RDF data storage and query. By adopting a hybrid data layout in HBase and an I/O cost model of join query in MapReduce. Experiments on LUBM show that the method performed well in space efficiency and time efficiency towards complex query of RDF data. |
| |
| Keywords: | RDF RDF data query MapReduce HBase query optimization |
|
| 点击此处可从《计算机应用研究》浏览原始摘要信息 |
|
点击此处可从《计算机应用研究》下载全文 |
