Knowledge Depreciation Research Papers - Academia.edu (original) (raw)
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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... more
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.