Abstract
This paper collects research papers on knowledge engineering 2009-2018 from the internationally-authoritative citation database Web of Science and uses the co-word analysis method to analyze these contents of literature. By statistical analysis of keyword frequency, the paper compiles the co-word table of the high-frequency words, uses statistical analysis software to make hierarchical clustering, and summarizes hot research topics in the knowledge engineering area.
Author supplied keywords
Cite
CITATION STYLE
Liu, X., & Liu, Z. (2019). Knowledge engineering research topic mining based on co-word analysis. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE (Vol. 2019-July, pp. 650–654). Knowledge Systems Institute Graduate School. https://doi.org/10.18293/SEKE2019-047
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
