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RDFAdaptor: Efficient ETL Plugins for RDF Data Process Cover

RDFAdaptor: Efficient ETL Plugins for RDF Data Process

Open Access
|Apr 2021

Authors

Jiao Li

Agricultural Information Institute of CAAS, Beijing, China

Guojian Xian

Agricultural Information Institute of CAAS, Beijing, China
Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, China

Ruixue Zhao

Agricultural Information Institute of CAAS, Beijing, China
Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, China

Yongwen Huang

Agricultural Information Institute of CAAS, Beijing, China

Yuantao Kou

Agricultural Information Institute of CAAS, Beijing, China
Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, China

Tingting Luo

Agricultural Information Institute of CAAS, Beijing, China

Tan Sun

suntan@caas.cn

Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, China
Chinese Academy of Agricultural Sciences, Beijing, China
DOI: https://doi.org/10.2478/jdis-2021-0020 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 123 - 145
Submitted on: Dec 18, 2020
Accepted on: Mar 9, 2021
Published on: Apr 14, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Jiao Li, Guojian Xian, Ruixue Zhao, Yongwen Huang, Yuantao Kou, Tingting Luo, Tan Sun, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.