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›› 2017, Vol. 29 ›› Issue (4): 76-80.doi: 10.13998/j.cnki.issn1002-1248.2017.04.016

• Literature study • Previous Articles     Next Articles

Research on the Hotspots of Digital Library under the Big Data by Applying Factor Dimension Reduction Analysis Based on Keywords

LIU Jiamei, CHENG Jiejing   

  1. Qufu Normal University, Shandong Rizhao 276800, China
  • Received:2016-10-19 Online:2017-04-05 Published:2017-04-11

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Abstract: With the arrival of the new era of big data, digital library has become a new learning space. The analysis on its hotspots and trend has immeasurable value. This paper selected 70 papers from 2010 to now as the research sample, and used BICOMB bibliographic analysis system to extract keywords and form co-occurrence matrix of keywords. With the help of SPSS software, the six main components of hot spot were analyzed by means of factor dimension reduction method, including the rational construction of digital library resource under the big data, the data structure of innovation, cloud computing and big data technology, knowledge service model, knowledge resource integration service, future development of the planning and innovation strategy. Through the analysis of relevant hotspots, the emerging research value points were continued to dig to promote the sustainable development of digital library in the future environment of big data.

Key words: big data

CLC Number: 

  • G250
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