A Summary of Thesaurus Research Based on Co-Word Analysis
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DOI: 10.23977/emels2021.016
Corresponding Author
Jinhua Yao
ABSTRACT
At present, with the rapid development of big data, cloud computing, and the
semantic web, in order to meet the needs of real-time processing of big data and
information, it is necessary to strengthen the research work of knowledge organization
systems. Based on the bibliometric and co-word clustering analysis method, this paper
selects the subject of library information and digital library under the China national
knowledge infrastructure database, and uses the periodicals collected in 2010-2019 as the
research object. Through the visualization of knowledge graphs, the analysis of domestic
descriptors in the past ten years research status in the field of thesaurus. The analysis
results show a slight downward trend in thesaurus research. However, it has not been
abandoned as an effective knowledge organization tool, and its development has shown a
trend of networking, diversification and integration.
KEYWORDS
Thesaurus, co-word analysis, clustering, reseacrh status introduction