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基于列数据库的RDF数据管理实现 被引量：3

RDF Data Management Realization for Column-oriented Databases
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摘要 随着语义网的发展,Web上越来越多的开放数据以RDF格式发布,对海量RDF的有效管理是实现语义网的一个重要条件。文中讨论并分析了现有的几种RDF数据存储方法,针对垂直划分的方法,基于列数据库MonetDB,实现了一个RDF数据管理方案。该方案将RDF和RDFS信息分开存储,并在Barton数据集上,设计了包含几种连接的基准查询,对比RDF管理系统Sesame的三元组模式,分别进行了存储空间和查询效率测试。实验结果验证了基于列数据库的垂直划分方案的有效性。 With the development of the semantic Web,the amount of RDF data published on Web is steadily growing,efficient management of RDF data is an important prerequisite for realizing the semantic Web vision. In this paper, discuss and analyze three storage modes,and implement an RDF data management uses the vertically partitioned approach for colunm-oriented database of MonetDB. The approach stores separately from RDF and RDFS, and devises four benchmark queries that cover important RDF join patterns on dataset of Barton. At last compare the performance of the data-size and query speed with Sesame using triple storing. The simulation results show the effectiveness of the proposed approach.
作者 王星 宋金玉 陈爽 陈萍
机构地区 解放军理工大学指挥自动化学院
出处 《计算机技术与发展》 2012年第6期53-56,60,共5页 Computer Technology and Development
基金 国家高技术研究发展计划"863"项目(2009AA01Z40)
关键词 资源描述框架 三元组 垂直划分 列数据库 RDF triple vertical partition column-oriented databases
分类号 TP31 [自动化与计算机技术—计算机软件与理论]
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参考文献12

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共引文献62

同被引文献33

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引证文献3

二级引证文献6

计算机技术与发展
2012年 第6期

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