图 书 馆
DBpedia SPARQL的基准—真实数据实时查询的绩效评估DBpedia SPARQL Benchmark – Performance Assessment with Real Queries on Real Data |
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| 课程网址: | http://videolectures.net/iswc2011_morsey_real/ |
| 主讲教师: | Mohamed Morsey |
| 开课单位: | 莱比锡大学 |
| 开课时间: | 2011-11-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Triple stores are the backbone of increasingly many Data Web applications. It is thus evident that the performance of those stores is mission critical for individual projects as well as for data integration on the Data Web in general. Consequently, it is of central importance during the implementation of any of these applications to have a clear picture of the weaknesses and strengths of current triple store implementations. In this paper, we propose a generic SPARQL benchmark creation procedure, which we apply to the DBpedia knowledge base. Previous approaches often compared relational and triple stores and, thus, settled on measuring performance against a relational database which had been converted to RDF by using SQL-like queries. In contrast to those approaches, our benchmark is based on queries that were actually issued by humans and applications against existing RDF data not resembling a relational schema. Our generic procedure for benchmark creation is based on query-log mining, clustering and SPARQL feature analysis.We argue that a pure SPARQL benchmark is more useful to compare existing triple stores and provide results for the popular triple store implementations Virtuoso, Sesame, Jena-TDB, and BigOWLIM. The subsequent comparison of our results with other benchmark results indicates that the performance of triple stores is by far less homogeneous than suggested by previous benchmarks. |
| 关 键 词: | 数据网络应用; 关系数据库; 查询日志挖掘; 特征分析 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-05：lxf |
| 阅读次数: | 54 |