Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade

2021
The publish or perish culture of scholarly communication results in quality and relevance to be are subordinate to quantity. Scientific events such as conferences play an important role in scholarly communication and knowledge exchange. Researchers in many fields, such as computer science, often need to search for events to publish their research results, establish connections for collaborations with other researchers and stay up to date with recent works. Researchers need to have a meta-research understanding of the quality of scientific events to publish in high-quality venues. However, there are many diverse and complex criteria to be explored for the evaluation of events. Thus, finding events with quality-related criteria becomes a time-consuming task for researchers and often results in an experience-based subjective evaluation. OpenResearch.org is a crowd-sourcing platform that provides features to explore previous and upcoming events of computer science, based on a knowledge graph. In this paper, we devise an ontology representing scientific events metadata. Furthermore, we introduce an analytical study of the evolution of Computer Science events leveraging the OpenResearch.org knowledge graph. We identify common characteristics of these events, formalize them, and combine them as a group of metrics. These metrics can be used by potential authors to identify high-quality events. On top of the improved ontology, we analyzed the metadata of renowned conferences in various computer science communities, such as VLDB, ISWC, ESWC, WIMS, and SEMANTiCS, in order to inspect their potential as event metrics.
SCIENTOMETRICS
页码:8129-8151|卷号:126|期号:9
ISSN:0138-9130
收录类型
SSCI
发表日期
2021
学科领域
循证社会科学-综合
国家
德国
语种
英语
DOI
10.1007/s11192-021-04072-0
EISSN
1588-2861
资助机构
Projekt DEAL
资助信息
Open Access funding enabled and organized by Projekt DEAL.
被引频次(WOS)
2
被引更新日期
2022-01
来源机构
University of Bonn Egyptian Knowledge Bank (EKB) Alexandria University University of Hannover
关键词
Scientific Events Ontology Metadata Analysis Scholarly Communication Metric Suite