June 5, 2024, 4:44 a.m. | Xuanqing Liu, Luyang Kong, Runhui Wang, Patrick Song, Austin Nevins, Henrik Johnson, Nimish Amlathe, Davor Golac

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.01876v1 Announce Type: cross
Abstract: Schema matching constitutes a pivotal phase in the data ingestion process for contemporary database systems. Its objective is to discern pairwise similarities between two sets of attributes, each associated with a distinct data table. This challenge emerges at the initial stages of data analytics, such as when incorporating a third-party table into existing databases to inform business insights. Given its significance in the realm of database systems, schema matching has been under investigation since the …

abstract arxiv attributes challenge context cs.ai cs.cl cs.db cs.ir cs.lg data database database systems data ingestion data security generative generative retrieval pivotal process retrieval schema security stages systems table type

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