计算机科学 ›› 2014, Vol. 41 ›› Issue (7): 227-231.doi: 10.11896/j.issn.1002-137X.2014.07.047
汪璟玢,方知立,张燕琴
WANG Jing-bin,FANG Zhi-li and ZHANG Yan-qin
摘要： 采用分布式来实现SPARQL(Simple Protocol and RDF Query Language)查询是解决海量RDF(Resource Description Framework)查询的一种新思路。目前实现的基于Hadoop的RDF查询都要启用多个MapReduce来完成任务, 浪费时间。为了克服此缺点,提出MRQJ(using MapReduce to query and join)算法,用以实现SPARQL的分布式查询。该算法分为连接计划生成与SPARQL查询执行两个部分:连接计划生成采用贪心策略,生成最优的连接方案；在SPARQL查询执行中只需结合一次MapReduce计算即可得到查询结果。在LUBM数据集上进行的测试实验表明:在查询语句较为复杂的情况下,MRQJ方法的查询效率具有明显的优势。
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