Author(s)

Jinhua Yao

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