The article introduces a new way to compare strings called incremental processing for string similarity join. This method helps manage data quality and find valuable information in data. By using this approach, the researchers were able to reduce the time and space needed for comparing similar strings, especially in data streams. They tested two algorithms, Inc-Join and Inp-Join, and found that Inp-Join performed better when dealing with large amounts of data by taking advantage of parallel processing. This means that the new framework can speed up the process of finding similar strings without sacrificing accuracy.