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Large Language Models (LLMs) have shown useful applications in a variety of tasks, including data wrangling.
A survey of approaches to automatic schema matching,
E. Rahm, P. A. Bernstein, · 2001
Earlier work this paper cites.
Generic schema matching, ten years later,
P. A. Bernstein, J. Madhavan, E. Rahm, · 2011
Earlier work this paper cites.
A. Doan, A. Halevy, Z. G. Ives, Principles of Data Integration, Morgan Kaufmann, Waltham, MA, 2012. URL: http://research.cs.wisc.edu/dibook/
2012
Earlier work this paper cites.
String Similarity Metrics for Ontology Alignment,
M. Cheatham, P. Hitzler, · 2013
Earlier work this paper cites.
GloVe: Global Vectors for Word Representation,
J. Pennington, R. Socher, C. D. Manning, · 2014
Earlier work this paper cites.
A Comparative Evaluation of String Similarity Metrics for Ontology Alignment,
Y. Sun, L. Ma, S. Wang, · 2015
Earlier work this paper cites.
BigGorilla: An Open-Source Ecosystem for Data Preparation and Integration,
C. Chen, B. Golshan, A. Y. Halevy, W.-C. Tan, A. Doan, · 2018
Earlier work this paper cites.
Observational Health Data Sciences and Informatics, The Book of OHDSI: Observational Health Data Sciences and Informatics, OHDSI, San Bernardino, CA, 2019. URL: http://book.ohdsi.org/
2019
Cited alongside, same era.
Adnev: Cross-domain schema matching using deep similarity matrix adjustment and evaluation,
R. Shraga, A. Gal, H. Roitman, · 2020
Cited alongside, same era.
Learning Knowledge Graph for Target-driven Schema Matching,
D. Mukherjee, A. Bandyopadhyay, R. Chowdhury, I. Bhattacharya, · 2021
Cited alongside, same era.
Valentine: Evaluating matching techniques for dataset discovery,
C. Koutras, G. Siachamis, A. Ionescu, K. Psarakis, J. Brons, M. Fragkoulis, C. Lofi, A. Bonifati, A. Katsifodimos, · 2021
Cited alongside, same era.
SMAT: An attention-based deep learning solution to the automation of schema matching,
J. Zhang, B. Shin, J. D. Choi, J. C. Ho, · 2021
Cited alongside, same era.
Can foundation models wrangle your data?,
A. Narayan, I. Chami, L. J. Orr, C. Ré, · 2022
Later among the works it cites.
Large language models are zero-shot reasoners,
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, Y. Iwasawa, · 2022
Later among the works it cites.
A semi-automated hybrid schema matching framework for vegetation data integration,
M. Asif-Ur-Rahman, B. A. Hossain, M. Bewong, M. Z. Islam, Y. Zhao, J. Groves, R. Judith, · 2023
Later among the works it cites.
Schema matching using pre-trained language models,
Y. Zhang, A. Floratou, J. Cahoon, S. Krishnan, A. C. Müller, D. Banda, F. Psallidas, J. M. Patel, · 2023
Later among the works it cites.
MIMIC-IV, a freely accessible electronic health record dataset,
A. E. W. Johnson, L. Bulgarelli, L. Shen, A. Gayles, A. Shammout, S. Horng, T. J. Pollard, S. Hao, B. Moody, B. Gow, L.-w. H. Lehman, L. A. Celi, R. G. Mark, · 2023
Later among the works it cites.
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M. Kallfelz, A. Tsvetkova, T. Pollard, M. Kwong, G. Lipori, V. Huser, J. Osborn, S. Hao, A. Williams, MIMIC-IV demo data in the OMOP Common Data Model, 2021. doi: 10.13026/P1F5-7X35
2021
Cited alongside, same era.
2022
Cited alongside, same era.
Valentine in action: Matching tabular data at scale,
C. Koutras, K. Psarakis, G. Siachamis, A. Ionescu, M. Fragkoulis, A. Bonifati, A. Katsifodimos,
Cited in the paper.
2023
Later among the works it cites.
M. Parciak, B. Vandevoort, F. Neven, L. M. Peeters, S. Vansummeren, Artifact Repository to Schema Matching with Large Language Models: An Experimental Study, 2024. URL: https://github.com/UHasselt-DSI-Data-Systems-Lab/code-schema-matching-LLMs-artefacs
2024
Closest in time.