Table Discovery in Data Lakes: State-of-the-art and Future Directions-Reference-Cited by-同舟云学术

Table Discovery in Data Lakes: State-of-the-art and Future Directions

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 International Conference on Management of Data
language:
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Author:

Fan Grace¹^ORCID,Wang Jin²^ORCID,Li Yuliang²^ORCID,Miller Renée J.¹^ORCID

Affiliation:

1. Northeastern University, Boston, MA, USA

2. Megagon Labs, Mountain View, CA, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555041.3589409

Reference60 articles.

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2. Alex Bogatu Alvaro A. A. Fernandes Norman W. Paton and Nikolaos Konstantinou. 2020. Dataset Discovery in Data Lakes. In ICDE. 709--720. Alex Bogatu Alvaro A. A. Fernandes Norman W. Paton and Nikolaos Konstantinou. 2020. Dataset Discovery in Data Lakes. In ICDE. 709--720.

3. Dan Brickley , Matthew Burgess , and Natasha F . Noy . 2019 . Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. In WWW. 1365--1375. Dan Brickley, Matthew Burgess, and Natasha F. Noy. 2019. Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. In WWW. 1365--1375.

4. Data integration for the relational web

5. Riccardo Cappuzzo Paolo Papotti and Saravanan Thirumuruganathan. 2020. Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. In SIGMOD. 1335--1349. Riccardo Cappuzzo Paolo Papotti and Saravanan Thirumuruganathan. 2020. Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. In SIGMOD. 1335--1349.

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