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Analysis on the Status Quo and Trends of Big Data Research in the Field of International Library and Information Science
Zhou Yaolin, Chai Hao, Zhao Yue
Libraly Journal. 2019, 38 (12): 16-27.
This paper uses co-word analysis and word frequency analysis to analyze the thematic
direction, evolution characteristics, research hotspots, and frontiers of big data research in the field of
international library and information science. The results show that six research directions of different
scales have formed in the field, namely, business intelligence and big data analysis, artificial intelligence
and information science, social network analysis and social media, data ethics and personal privacy,
information technology and information management, as well as library and data literacy. Big data, artificial
intelligence, data analysis, and data mining have always been the focus of the academic circle, while social
media, machine learning, sentiment analysis have become new research hotspots in 2018. The topics of data
management, information systems, knowledge management, machine learning, and the Internet of Things
have become the frontier topics in the current research.
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An Overview of Data-Driven Based Research on Library User Behaviors
Ruan Guangce, Ren Jinyue, Tu Shiwen
Libraly Journal. 2019, 38 (12): 28-37.
With the further development and application of big data technologies in libraries, data-driven
research on library user behaviors is gradually emerging. According to the statistical analysis results of
the domestic and foreign research literatures in this domain, this paper reviews the development trends
and changes during the past decades. Through the social network analysis on keywords appearing in
these research literatures, this paper reveals the current research contents and hot topics in this area. We
demonstrate the basic concepts and theories of data-driven research on library user behaviors from four
aspects: concept definitions, research contents, research methods and practical applications. Moreover, we
summarize the main contents and study methods of existing research, tring to present a current overview
of this area. In the meantime, several new trends in this domain are summarized in this paper, including
research paradigm shifting, research granularity refinement and multi-source data fusion. We also discuss
the direction and challenges of future development from the aspects of data privacy and protection, data
storage and integration, model selection and evaluation, data product development, and their impact on
library services.
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Scientific Data Outflow in China: Phenomena, Problems and Countermeasures
Li Yang, Wen Liangming
Libraly Journal. 2019, 38 (12): 72-81.
With the birth and development of data-intensive scientific discovery research paradigm, and
the deepening of theoretical research and practical exploration of scientific data sharing, The uncontrolled
sharing of scientific data has caused the outflow of some scientific data in China and attracted the attention of
the relevant departments. The control of key scientific data outflow is urgently needed. This paper discusses
the phenomena of the outflow of scientific data and the associated problems. And some countermeasures
are proposed. The outflow of scientific data in China is mainly manifest in the publication, storage and
submission of data papers, data sets, and paper data to foreign platforms. The problems are mainly reflected
in economic interests, periodical construction, scientific research, data security and so on. We can cope with
the outflow of scientific data in China by formulating norms, building platforms, supporting and guiding
journals, protecting data, and encourage library’s participation.
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Research on the Citation Analysis Method Based on Ontology and Linked Data
Shi Zeshun, Xiao Ming
Libraly Journal. 2019, 38 (12): 82-91.
This paper proposed a new citation analysis method based on ontology and linked data by
way of combining ontology, linked data technology and citation analysis. The purpose was to make use of
semantic technology to reveal the citation relationships among academic documents, and to create a new
citation analysis method in the semantic publishing environment. First of all, the highly cited literature
in the citation analysis field of CSSCI database was selected to compose the experiment data set. Then, a
Bibliographic Citation Ontology (BCO) was constructed to normalize the citation data and to publish RDF
triples as citation linked data. Finally, the authors constructed different SPARQL queries to extract the
bibliographic citation information in multiple dimensions. They also analyzed the citation times, citation
authors, citation journals, and multi-dimensional situation in detail, hoping to verify the feasibility of
this method. The citation analysis method based on ontology and linked data has certain feasibility and
practicability. It is worthy of consideration by scientific researchers.
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The Research on Cultural and Creative Products in Foreign Libraries and Its Enlightenment
Sheng Yijin
Libraly Journal. 2019, 38 (12): 98-104.
This paper combs the research and practice of foreign library in terms of cultural and creative
products, summarizes their experience, and provides reference for the development of domestic libraries.
Based on the websites and literature research, the paper summarizes the experience regarding product
positioning, product design and product operation. It provides proposals for domestic libraries’ related work
from the perspectives of market demands, cultural connotation, the practical functions, the aesthetic value,
awareness of publicity, and open cooperation.
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