Abstract
The last decade have witnessed a profusion of research work on the crowdsourcing topic. Human skills are essential in achieving high quality answers in crowdsourcing solving tasks. The current paper aims to introduce an innovative crowdsourcing-based solution for a scientific meta-journal. An overall architecture of the proposed system is introduced with a focus on the aggregation of the reviewers’ evaluations to produce a final decision. We introduce several aggregation methods adapted to the nature of data to fusion and discuss them. In addition, we discuss future challenges that cope with the proposed system.
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Notes
- 1.
In some journals, authors are informed that their submission is out of the scope several weeks after submission; a real waste of time for researchers.
- 2.
For example, an author that handles its own article with a second account.
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Abidi, A., Bahri, N., Bach Tobji, M.A., HadjAli, A., Ben Yaghlane, B. (2017). First Steps Towards an Electronic Meta-journal Platform Based on Crowdsourcing. In: Jallouli, R., Zaïane, O., Bach Tobji, M., Srarfi Tabbane, R., Nijholt, A. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2017. Lecture Notes in Business Information Processing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-62737-3_15
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