Título: Selecting Experts using Data Quality Concepts
Autores: Carlos Eduardo Barbosa, Marcio Antelio, Jano Moreira de Souza, Jonice Oliveira
Data de publicação: Dezembro de 2015
Nome da publicação: International Journal of Database Management Systems (IJDMS) Vol.7, No.6
Resumo: Personal networks are not always diverse or large enough to reach those with the right information. This problem increases when assembling a group of experts from around the world, something which is a challenge in Future-oriented Technology Analysis (FTA). In this work, we address the formation of a panel of experts, specifically how to select a group of experts from a huge group of people. We propose an approach which uses data quality dimensions to improve expert selection quality and provide quality metrics to the forecaster. We performed a case study and successfully showed that it is possible to use data quality methods to support the expert search process.