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Knowledge Engineering Research Topic Mining Based on Co-word Analysis
Liu,Xiumin; Liu,Zheng
2019
Conference NameThe 31st International Conference on Software Engineering & Knowledge Engineering
Source PublicationProceedings of the International Conference on Software Engineering and Knowledge Engineering
Issue2019-July
Pages650-654
Conference Date2019-7-9
Conference PlaceHotel Tivoli Oriente, Lisbon, Portugal
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.

KeywordKnowledge Engineering Co-word Analysis Topic Research Data Process
DOI10.18293/SEKE2019
URL查看原文
Indexed ByEI
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.las.ac.cn/handle/12502/11512
Collection中国科学院文献情报中心(北京)_资源建设部
Corresponding AuthorLiu,Zheng
AffiliationNational Science Library Chinese Academy of Sciences
First Author Affilication中国科学院文献情报中心
Corresponding Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
Liu,Xiumin,Liu,Zheng. Knowledge Engineering Research Topic Mining Based on Co-word Analysis[C],2019:650-654.
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