【24h】

Two Layer Cache for RDF Database

机译:RDF数据库的两层缓存

获取原文

摘要

With the Semantic Web[1]has been paid more and more attention, there are more and more related applications. For instance, Google has provided semantic retrieval functions, you can get the information of some famous people directly. RDF[2]database as the data storage tool of Semantic Web also gets many attentions. Now, there are some well-known RDF databases such as Jena[3], Sesame[4], Big data[5] and so on. The role of RDF database is to provide data service for Semantic Web applications. The important metric of database is the query efficiency. Now, most of RDF database's efficiency has not reached high level and there is a large gap between it and commercial demand[6][7]. In this paper, we present a two layer cache mechanism: RC (RDF database Cache) to speed up the queries and relieve the problem that the runtime of some queries is too long in RDF database. By implementing and test, the query efficiency can increase thirty-one percent or more after using this cache mechanism.
机译:随着语义网[1]受到越来越多的关注,相关的应用也越来越多。例如,谷歌提供了语义检索功能,您可以直接获取一些名人的信息。作为语义Web的数据存储工具的RDF [2]数据库也引起了很多关注。现在,有一些著名的RDF数据库,例如Jena [3],Sesame [4],Big data [5]等。 RDF数据库的作用是为语义Web应用程序提供数据服务。数据库的重要指标是查询效率。现在,大多数RDF数据库的效率还没有达到很高的水平,并且与商业需求之间还有很大的差距[6] [7]。在本文中,我们提出了一种两层缓存机制:RC(RDF数据库缓存)以加快查询速度并缓解RDF数据库中某些查询的运行时间过长的问题。通过实施和测试,使用此缓存机制后,查询效率可以提高31%或更多。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号