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70 Years of Bibliographic Cause in the People’s Republic of China
Ke Ping, Liu Xuqing, Peng Liang
Libraly Journal. 2019, 38 (10): 16-23.
In the past 70 years, China has made a great progress in bibliographic cause. This paper
reviews and combs the history of bibliographic cause in new China from six aspects, namely, the stages of
bibliographic cause development, national bibliographic control, bibliographic production and evaluation,
bibliographic work organization, bibliography worker training and related bibliographic cause policies, and
also considers the development direction of Chinese bibliographic cause in the new era.
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On the Integrated View of Intelligence Based on the Factual Attribute
Peng Zhihui
Libraly Journal. 2019, 38 (10): 34-46.
The study of intelligence attributes has been going on for a long time, but there is no consensus
achieved. This paper puts forward the new view that fact is the important attribute of intelligence, theoretically
explains the multi-element composition of intelligence according to the factual attribute, and constructs an
integrated view of intelligence. All facts are “empirical facts” perceived by the person. Both intelligence
and fact are epistemological categories, and they are compatible. Fact plays a fundamental and decisive role
in intelligence activities. According to the factual attribute of intelligence, it can be theoretically explained
that intelligence has a variety of manifestations such as fact, information, knowledge, data and other forms,
because they are all derived from facts and reflect different aspects of facts. Therefore, the integrated view
of intelligence can be constructed, with fact as the starting point, intelligence the end, and data, information
and knowledge intermediaries between fact and intelligence.
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Construction of the Whole Domain Service in Jiading Library
Duan Yufeng, Zhang Junling, Huang Ying
Libraly Journal. 2019, 38 (10): 63-72.
Over the past 10 years, Jiading Library has been persistently exploring, and the establishment of
a universally equal cultural service system of public library in Jiading has received positive acknowledgement
from all walks of life. Based on the interviews and systematic collection of relevant materials, this case
comprehensively combs various stages of developing the Whole Domain Service of the Jiading Library,
from the initial full coverage of the building space, to innovatively introducing social forces as to extend
public cultural service to a wider social public space, and to the usage of cloud service to complement the
digital space shortage. It elaborates on the various development standards and management mechanisms
used in the formation of the Whole Domain Service. Finally, researchers can draw upon experience and
acquire inspirations from the article for the Whole Domain Service.
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Research on the New Model of Traditional Chinese Culture Promotion in University Libraries through General Education: Case Studies of Three “Double First-Class” University Libraries
Liu Yan, Zhou Weiwei
Libraly Journal. 2019, 38 (10): 79-87.
The article discusses the current situation of general education in universities, and elaborates
on the advantages and significance of general education conducted by university libraries. By introducing
the cases of traditional Chinese culture promotion in the three “double first-class” university libraries, the
paper analyzes the objective, form, system, target, teacher, strategy, fund, and effect, providing practical
experience.
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Research on Technology Fusion Recognition and Technology Opportunity Prediction Based on Patent Data Mining
.Shen Jinhua, Yan Qianqian, Sun Qiaoxuan,
Libraly Journal. 2019, 38 (10): 95-106.
Identifying the future technology opportunities from the perspective of technology convergence
can help enterprises adjust their R&D strategies in time and carry out R&D activities more efficiently.
Therefore, based on the patent data mining technology, this paper constructs a technology fusion recognition
and prediction model. This model constructs IPC co-occurrence network through Apriori algorithm, splits
the network into different technology cluster by Louvain algorithm, and explores the technical themes of
each cluster using LDA topic model. By constructing two indicators, “community fusion potential” and
“technology fusion value”, we evaluate the fusion value of the weak ties between communities. The weak
ties with high fusion value will be assembled to form a prediction network, and the future technological
opportunities can be explored by extracting keywords from the prediction network. Taking the electric
vehicle industry as an example, this paper makes an empirical study on the model.
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