First Steps Towards an Electronic Meta-journal Platform Based on Crowdsourcing

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 290)


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.


Aggregation methods Crowdsourcing Possibility theory Reliability Human intelligent task Information fusion 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.ISG, LARODECUniversité de TunisTunisTunisia
  2. 2.ESENUniv. ManoubaManoubaTunisia
  3. 3.ENSMA, LIASUniversity of PoitiersPoitiersFrance
  4. 4.IHEC, LARODECUniversity of CarthageTunisTunisia

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