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arXiv · 1911.11543

Schema Matching using Machine Learning

Tanvi Sahay·Ankita Mehta·Shruti Jadon
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Abstract

Schema Matching is a method of finding attributes that are either similar to each other linguistically or represent the same information. In this project, we take a hybrid approach at solving this problem by making use of both the provided data and the schema name to perform one to one schema matching and introduce the creation of a global dictionary to achieve one to many schema matching. We experiment with two methods of one to one matching and compare both based on their F-scores, precision, and recall. We also compare our method with the ones previously suggested and highlight differences between them.

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Tanvi Sahay, Ankita Mehta, Shruti Jadon. 2019-11-24. Schema Matching using Machine Learning. https://doi.org/10.1109/spin48934.2020.9071272

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