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Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm

  • Zakaria SaoudEmail author
  • Colin Fontaine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11191)

Abstract

Numerous citizen science platforms aiming at monitoring biodiversity have emerged in the recent years. These platforms collect biodiversity data from participants and allow them to increase their scientific knowledge and share it with other participants, experts and scientists. One key aspect of such platforms is quality control on the data, a task usually performed by a limited number of co-opted experts. With the amount of data collected increasing steeply, finding new experts is needed. In this paper we propose a new graph-based expert finding approach for the citizen science platform SPIPOLL, aiming at collecting data on pollinator diversity across France. We exploit both users comments quality and users social relations to calculate users expertise for specific insect family. Experimental results show that the proposed method performs better than the state-of-the-art expert finding algorithms.

Keywords

Expert finding PageRank algorithm Citizen sciences 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Centre dEcologie et des Science de la Conservation, UMR 7204 CNRS-MNHN-SU, Musum national d’Histoire naturelleParisFrance

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