Publication
Rethinking Table Retrieval from Data Lakes
Jan-Micha Bodensohn; Carsten Binnig
In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.
Abstract
Table retrieval from data lakes has recently
become important for many downstream
tasks. For example, data engineering efforts
often involve retrieving relevant tables from
data lakes to provide the basis for further data
analysis and exploration. Moreover, table
retrieval has also gained importance beyond
data engineering. For example, recent opendomain
table question answering (TQA)
approaches combine table retrieval with large
language models (LLMs) to answer questions
based on tables.