A preprocessing strategy of RDF data query based on relational database
- 10.2991/amcce-17.2017.151How to use a DOI?
- Resource description framework; Relational database; Query optimization; preprocessing; LUMB data set
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.
- © 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/).
Cite this article
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 -