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Communication Dans Un Congrès Année : 2018

Expert finding in Citizen Science platform via weighted PageRank algorithm

Résumé

Several 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.
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Dates et versions

hal-02393811 , version 1 (04-12-2019)

Identifiants

  • HAL Id : hal-02393811 , version 1

Citer

Zakaria Saoud, Colin Fontaine. Expert finding in Citizen Science platform via weighted PageRank algorithm. Advances in Intelligent Data Analysis XVII, Oct 2018, Hertogenbosch, Netherlands. ⟨hal-02393811⟩
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