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It has become more common to store data about real-world entities, where this data is often distributed across multiple data sources. Entity alignment helps with merging and managing such data by identifying and linking similar entities stored in each of the data sources. Many machine learning-based semantic entity alignment approaches have been proposed by the recent studies in the field. The goal of this systematic literature review is to give an overview of the most recent studies thatdoi:10.5281/zenodo.6328248 fatcat:kl4julgduffzzhyxztsfxzsw3a