TY - GEN
T1 - Research on university ranking based on literature big data and industry thesaurus - Taking double first-class universities as an example
AU - Fan, Yuhang
AU - Wang, Xiaoxia
AU - Chen, Miao
AU - Zhu, Yue
AU - Xu, Pengjing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Most of the current university rankings base on the academic system and lack the detailed classification. It is not that suitable for industry field to screen the universities for the potential corporation on research and development. In this paper, we adopt big data processing technology to form a structured process of university rankings based on the industrial system, with support on the massive literature data and the built industry thesaurus from our previsions study. It consists of four modules: resource download, text segmentation, data processing and result presentation. Results show that our new ranking can reach the precise divisions on subdivided industry, also in accord with other authoritative rankings in the similar divisions from both classifications. Our ranking can possibly help understand the research priorities of different universities in perspective, improve the efficiency of technology transfer from universities to industry and sketch the map of industry-university-research system.
AB - Most of the current university rankings base on the academic system and lack the detailed classification. It is not that suitable for industry field to screen the universities for the potential corporation on research and development. In this paper, we adopt big data processing technology to form a structured process of university rankings based on the industrial system, with support on the massive literature data and the built industry thesaurus from our previsions study. It consists of four modules: resource download, text segmentation, data processing and result presentation. Results show that our new ranking can reach the precise divisions on subdivided industry, also in accord with other authoritative rankings in the similar divisions from both classifications. Our ranking can possibly help understand the research priorities of different universities in perspective, improve the efficiency of technology transfer from universities to industry and sketch the map of industry-university-research system.
KW - big data
KW - industry thesaurus
KW - natural language processing
KW - university ranking
UR - http://www.scopus.com/inward/record.url?scp=85143132453&partnerID=8YFLogxK
U2 - 10.1109/DSIT55514.2022.9943942
DO - 10.1109/DSIT55514.2022.9943942
M3 - Conference Proceeding
AN - SCOPUS:85143132453
T3 - 2022 5th International Conference on Data Science and Information Technology, DSIT 2022 - Proceedings
BT - 2022 5th International Conference on Data Science and Information Technology, DSIT 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Data Science and Information Technology, DSIT 2022
Y2 - 22 July 2022 through 24 July 2022
ER -