The purpose of data integration is to integrate the multiple sources of heterogeneous data available on the internet, such as text, image, and video. After this stage, the data becomes large. Therefore, it is necessary to analyze the data that can be used for the efficient execution of the query. However, we have problems with solving entities, so it is necessary to use different techniques to analyze and verify the data quality in order to obtain good data management. Then, when we have a single database, we call this mechanism deduplication. To solve the problems above, we propose in this article a method to calculate the similarity between the potential duplicate data. This solution is based on graphics technology to narrow the search field for similar features. Then, a composite mechanism is used to locate the most similar records in our database to improve the quality of the data to make good decisions from heterogeneous sources.
Collaboration network of the authors
17 authors ·
37 co-authorship links
· 7 across different organisations
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Université Ibn-Tofail
Université Sultan Moulay Slimane
Cadi Ayyad University
Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles
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