Work

Fairness-Oriented Entity Resolution Tool for Streaming Data

Year: 2024

Type: conference-paper

Abstract: Entity Resolution (ER) plays a crucial role, facilitating the integration of knowledge bases and identifying similarities among entities from different sources. In this work, we address the following challenges: streaming data, incremental processing, and fairness. There is a lack of studies involving fairness and ER, which is related to the absence of discrimination or bias. Considering this context, this work presents TREATS, a fairness-aware ER tool able to deal with streaming and incremental data, which goes beyond matching based on the similarity scores and also applies to target fairness constraints. Overall, our contributions aim to advance the field of ER by offering a matching tool that considers both technical challenges and ethical considerations.

DOI: 10.5753/sbbd_estendido.2024.242809

Authors: Tiago Brasileiro Araújo, Vasilis Efthymiou, Kostas Stefanidis, Rafael de Souza Guerra

Institutions: Tampere University, Instituto Federal de Educação Ciência e Tecnologia da Paraíba, Harokopio University of Athens, Universidade Federal de Campina Grande

Language: English

Topic: Data Quality and Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4403397023

FWCI:

Cites: 8

Cited by:

Related to: 10