Storing and Indexing RDF Data in a Column-Oriented DBMS

Storing and Indexing RDF Data in a Column-Oriented DBMS
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DOI：
10.1109/dbta.2010.5659025
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发表时间：
2010-12
期刊：
2010 2nd International Workshop on Database Technology and Applications
影响因子：
--
通讯作者：
Xin Wang;Shuyi Wang;Pufeng Du;Zhiyong Feng
Xin Wang;Shuyi Wang;Pufeng Du;Zhiyong Feng
中科院分区：
其他
文献类型：
--
作者：
Xin Wang;Shuyi Wang;Pufeng Du;Zhiyong Feng

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Effcient RDF data management is an essential factor in realizing the Semantic Web vision. However, most existing RDF storage schemes based on row-store relational databases are constrained in terms of efficiency and scalability. In this paper, we propose an RDF storage scheme that implements sextuple indexing for RDF triples using a column-oriented DBMS. To evaluate the performance of our approach, large-scale datasets upto 13 million triples are generated and benchmark queries that cover important RDF join patterns are devised. The experimental results show that our approach outperforms the row-oriented DBMS approach by upto an order of magnitude and is even competitive to the best state-of-the-art native RDF store.