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008 Journal of Library Science in China, Vol. 8, 2016
library. There are many other scholars who have begun to focus on the gathering, processing
and associating functions of digital libraries for the academic information in big data (Williams,
Wu, Choudhury, Khabsa, & Giles, 2014), so digital libraries can make better use of big data and
incorporate to the Internet.
At the same time, plenty of relevant achievements and ideas also have been published by
domestic researchers. For example, Zeng (2004) pointed out in the preface of album “Big data
and digital libraries” of “Digital Library Forum” that, big data was bound to promote the in-depth
revolution of a digital library in data management, data analysis, data use and data services, in the
meantime put forward higher requirements to the responsibility and consciousness of librarians.
C. F. Chen, Qian, and Dai (2014) from the Wuhan University analyzed the problems of digital
libraries currently facing in this big data environment, and proposed relevant suggestions and
countermeasures from aspects like transformation of mindset, development of knowledge service,
enhancement of financial input mechanism, and improvement of librarians’ quality, etc. Liu, Xia,
and C. J. Zhang (2013) from the Shanghai Library emphasized the importance of digital libraries
focusing on big data and associated data in the era of big data, and outlooked the application
prospect of two different correlation data, i.e. big correlation data and correlated big data in digital
libraries. C. Chen (2015b) from the Lanzhou University of Finance and Economics explored how
to establish an effective digital library search engine, which can meet the personalized demand of
library users from a technical perspective. There were also a lot of research works done in other
aspects of the application of big data technology in digital libraries. M. Chen, Zhou, & Lü (2014)
investigated the mobile data service technology of digital libraries in a big data era. C. Chen
(2015a), Li and X. Y. Zhang (2013) discussed the big data storage issue in digital libraries. Guo
(2015) dabbled the unstructured data fusion problem in a big data environment. Y. G. Wang, Xing,
and H. Zhang (2014) explored the architecture problem of the application of big data technology in
digital libraries.
The researches above revealed that the challenges and opportunities introduced by big data to
digital libraries had attracted the attention of academic researchers and library staffs. Researches
and practices of digital libraries incorporating big data are on-going. To achieve a better
development of university libraries and public libraries in the big data era, and for them to play a
more important role in people’s cultural life and scientific research, we must think deeper, change
mindset, and promote competitiveness.
1.2 Enlightenment and reflection
Academic resource construction business rapidly progresses in the big data era. It is not just limited
to Internet resources and journals, but includes all types of literature resources. The resource
network is not just a simple literature network either, but is established as a network between