scholarly journals The effect of conference proceedings on the scholarly communication in Computer Science and Engineering

Author(s):  
Lior Shamir

Conference papers have traditionally been a quick form of research communication, and an important source of information for scientists in addition to the standard journal papers. However, in the disciplines of Computer Science and Engineering, a vast majority of the peer-reviewed publications is communicated in the form of conference papers, and conference proceedings have become the primary channel of research communication in these disciplines. While this form of scholarly communication was effective for Computer Science as a young discipline, it introduces several limitations that make it non-optimal for a mature and established scientific field. These include the quality of the peer-reviewed work, selection of papers for publication, and also the efficacy of conferences as forums for expressing innovative and visionary ideas and providing opportunities for networking and meeting other researchers in the field. Here we review the differences between Computer Science and Engineering conference publications and the traditional journal publication used in other scientific disciplines, and discuss the effect of these differences on the scholarly communication in this field.

2021 ◽  
Author(s):  
Arthur Lackner ◽  
Said Fathalla ◽  
Mojtaba Nayyeri ◽  
Andreas Behrend ◽  
Rainer Manthey ◽  
...  

AbstractThe 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.


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