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RDF数据的并行处理及性能评价
引用本文:吴刚,杨梦冬.RDF数据的并行处理及性能评价[J].计算机研究与发展,2009,46(Z2).
作者姓名:吴刚  杨梦冬
作者单位:东南大学计算机科学与工程学院,南京,210096
基金项目:江苏省自然科学基金项目,国家自然科学基金项目 
摘    要:语义Web作为数据之网不断汇集并组织Web信息,相关应用因此面临着对语义Web所含大规模RDF数据高效访问的挑战.利用并行处理技术提高性能是一种解决之道,其核心是RDF数据的放置策略和并行查询处理.已有工作尚未系统研究RDF数据放置策略的分类与特点,及其对查询处理性能的影响.分析了RDF数据上各类数据放置幕略及其对查询处理性能影响,通过LUBM测试基准结果分析评价了典型的RDF并行处理策略(数据放置策略及相应并行查询处理)的实际性能,为提出更有效的并行处理策略奠定了基础.

关 键 词:并行数据库  性能评价

Performance Evaluation of Parallel Processing Techniques for RDF Data
Wu Gang,Yang Mengdong.Performance Evaluation of Parallel Processing Techniques for RDF Data[J].Journal of Computer Research and Development,2009,46(Z2).
Authors:Wu Gang  Yang Mengdong
Abstract:By specifying explicit semantics to information on the Web,the Semantic Web has been a "Web of Data".Efficiently processing large scale data formatted in RDF thereafter becomes a problem that all Semantic Web applications confronte.Obviously,applying parallel processing techniques for RDF data will be an effective solution,which highly depends on the strategies of RDF data placement and parallel query processing.However,there is little systematic research on the classification and characteristicS of RDF data placement and their impacts on the performance of parallel query processing.In this paper,existing RDF data placement strategies and their impacts are analyzed.Two typical parallel processing techniques are compared with the LUBM benchmark.The experimental results and extensive analysis lay a solid foundation for further research.
Keywords:RDF  RDF  parallel database  performance eval uation
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