计算机应用与软件2018，Vol.35Issue(3)：15-20,6.DOI:10.3969/j.issn.1000-386x.2018.03.003
一种基于HBase的语义数据存储模型
A SEMANTIC DATA STORAGE MODEL BASED ON HBASE
摘要
Abstract
With the rapid development and application of Semantic Web, how to organize and manage large-scale semantic data becomes a key problem in Semantic Web research.In order to perform various query operations efficiently, an RDF data storage model based on distributed database HBase was proposed based on the semantic data query feature. The RDF data with predicate index were stored in P_OS and P_SO index tables, and the improved query indexing strategy was given.In terms of data loading, the data was uploaded to the HBase storage table quickly by customizing Bulk Loading.The theoretical analysis and experimental results showed that the storage model proposed in this paper could respond quickly to the query service based on predicate constraints.On the other hand,the loading method of Bulk loading parallel data had a higher speedup,which could significantly shorten the data load time.关键词
HBase/资源描述框架/语义网/语义数据存储Key words
HBase/RDF/Semantic web/Semantic data storage分类
信息技术与安全科学引用本文复制引用
翟社平,高山,郭琳,李兆兆..一种基于HBase的语义数据存储模型[J].计算机应用与软件,2018,35(3):15-20,6.基金项目
陕西省自然科学基金项目(2012JM8044) （2012JM8044）
陕西省社会科学基金项目(2016N008) （2016N008）
陕西省教育厅科学研究计划项目(12JK0733) （12JK0733）
西安市社会科学规划基金项目(17X63) （17X63）
西安邮电大学研究生创新基金项目(114-602080106). （114-602080106）
