Matching Table Metadata with Business Glossaries Using Large Language Models

E Lobo, O Hassanzadeh, N Pham… - arXiv preprint arXiv …, 2023 - arxiv.org
Enterprises often own large collections of structured data in the form of large databases or
an enterprise data lake. Such data collections come with limited metadata and strict access …

[PDF][PDF] SEALM: Semantically Enriched Attributes with Language Models for Linkage Recommendation

L Traeger, A Behrend, G Karabatis - researchgate.net
Matching attributes from different repositories is an important step in the process of schema
integration to consolidate heterogeneous data silos. In order to recommend linkages …