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INTERNATIONAL JOURNAL OF LIBRARIANSHIP, 2(1), 82 

ISSN: 2474-3542 

 

 

Conference Report and Journal Launch, Beijing, China, June 8-9, 2017, the National 

Science Library of China (NSLC) (http://www.las.cas.cn/ ) hosted the first Data Analysis 

and Knowledge Discovery conference (http://www.dakd.org:8081) and Big Data Analysis 

for Decision-Making workshop. A total of 266 delegates from 69 affiliations across the 

country gathered in Beijing Xiangshan for the event. 

The meeting received a total of 56 paper submissions. The chief editor Dr. Xiaolin 

Zhang of the Journal of Data Analysis and Knowledge Discovery 

(http://www.infotech.ac.cn/) presided over the opening ceremony. After the director of the 

NSLC, Dr. Xiangyang Huang, welcomed participants, 24 well-known experts from various 

research institutes, universities and library information institutes made presentations or 

demonstrations. Topics covered included Data mining, Semantic computing, Content 

analysis, Knowledge discovery, Intelligent decision making, Machine learning and Digital 

humanities. Participants discussed everything from abstract data science theory to the 

specifics of service platforms and mechanisms. 

This meeting took its name from the Journal of Data Analysis and Knowledge 

Discovery, which is the new name of and direction for the former Journal of Modern 

Library and Information Technologies. The first editorial meeting was held one day before 

the conference. 31 of 46 editorial committee members attended the meeting and discussed 

the progress of the journal as well as research in the related disciplines. 

NSLC publishes 17 academic journals, including the new Journal of Data Analysis 

and Knowledge Discovery. The new journal aims to cultivate data related research in China 

and promote data driven knowledge discovery and decision making. 

 

 

Keven Liu, Shanghai Library, Shanghai, China 

 

DOI: https://doi.org/10.23974/ijol.2017.vol2.1.37  

 

http://www.dakd.org:8081/
http://www.infotech.ac.cn/
https://doi.org/10.23974/ijol.2017.vol2.1.37