Analysis of Scientific and Technical Literature in the Big Data
Wen Zeng, Hui Li, Na Qi
Available Online March 2018.
- 10.2991/acaai-18.2018.42How to use a DOI?
- analysis; scientific and technical literature;big data
Compared with the others data, scientific and technical literature is multi-source and multiple types. Its content is more emphasis on technical and correlation. In order to analyze and evaluate it, the paper got the value of correlation based on VSM. And it introduced the value of correlation into evaluation indexes of scientific and technical papers and patents in China. Experimental results showed that the method was reasonable and it could improve the traditional evaluation method of scientific and technical literature. The work in this paper will provide a good foundation for the future research.
- © 2018, 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 - Wen Zeng AU - Hui Li AU - Na Qi PY - 2018/03 DA - 2018/03 TI - Analysis of Scientific and Technical Literature in the Big Data BT - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) PB - Atlantis Press SP - 179 EP - 181 SN - 1951-6851 UR - https://doi.org/10.2991/acaai-18.2018.42 DO - 10.2991/acaai-18.2018.42 ID - Zeng2018/03 ER -