Description: Semantic anonymization is a technique that alters the meaning of data to protect individual identities. Unlike traditional anonymization, which may simply remove or mask identifying information, semantic anonymization transforms data in such a way that its utility for analysis and studies is preserved, while the possibility of identifying the individuals involved is eliminated. This technique relies on understanding the context and meaning of the data, allowing the information to remain valuable for research and development while protecting individuals’ privacy. Semantic anonymization is particularly relevant in a world where personal data protection is increasingly critical, and it is used in various fields such as medical research, social data analysis, and business intelligence. Its ability to maintain data integrity while ensuring confidentiality is what sets it apart as a powerful tool in managing sensitive data.
