A preprocessing strategy of RDF data query based on relational database

DOI

10.2991/amcce-17.2017.151How to use a DOI?

Keywords

Resource description framework; Relational database; Query optimization; preprocessing; LUMB data set

Abstract

To improve the efficiency of the query on the data of resource description framework (RDF), the method of storage and management of the data at home and abroad is studied. According to the characteristic of the data that the number of subjects and objects is large and the number of attributes is small, a preprocessing of the storage of the data based on the relational database is proposed. The query first judge the property, and then performed, thus the efficiency of the implementation of the query is improved. Finally, the data was generated uses the LUMB data set, and then, the designed query is executed on it. The experimental results verify the validity of the method.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - YuanYuan Chen
PY  - 2017/03
DA  - 2017/03
TI  - A preprocessing strategy of RDF data query based on relational database
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 854
EP  - 859
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.151
DO  - 10.2991/amcce-17.2017.151
ID  - Chen2017/03
ER  -