FairEM360: A Suite for Responsible Entity Matching

arXiv:2404.07354v1 Announce Type: cross
Abstract: Entity matching is one the earliest tasks that occur in the big data pipeline and is alarmingly exposed to unintentional biases that affect the quality of data. Identifying and mitigating the biases that exist in the data or are introduced by the matcher at this stage can contribute to promoting fairness in downstream tasks. This demonstration showcases FairEM360, a framework for 1) auditing the output of entity matchers across a wide range of fairness measures …

abstract arxiv biases big big data cs.cy cs.db cs.lg data data pipeline pipeline quality responsible stage tasks type