Efficient indexing RDF query algorithm for big data

被引：0

作者：

Zeng, Yiqun ^{[1
]}

Wang, Jingbin ^{[1
]}

机构：

[1] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Peoples R China

来源：

MACHINERY ELECTRONICS AND CONTROL ENGINEERING III | 2014年 / 441卷

关键词：

RDF; SPARQL; PAR-Tree Index; Hadoop;

D O I：

10.4028/www.scientific.net/AMM.441.691

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 development of information technology, data grows explosionly, how to deal with the large scale data become more and more important. Based on the characteristics of RDF data, we propose to compress RDF data. We construct an index structure called PAR-Tree Index, then base on the MapReduce parallel computing framework and the PAR-Tree Index to execute the query. Experimental results show that the algorithm can improve the efficiency of large data query.

引用

页码：691 / 694

页数：4

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