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ConnectionLens: Finding Connections Across Heterogeneous Data Sources

Camille Chanial 1, 2 Rédouane Dziri 3 Helena Galhardas 4 Julien Leblay 2 Minh-Huong Le Nguyen 1, 5 Ioana Manolescu 1, 5
1 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
2 AIST - National Institute of Advanced Industrial Science and Technology
3 X - École polytechnique
4 INESC - Instituto de Engenharia de Sistemas e Computadores
5 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
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https://hal.inria.fr/hal-01968418
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Submitted on : Wednesday, January 2, 2019 - 5:00:07 PM
Last modification on : Thursday, January 20, 2022 - 5:31:54 PM
Long-term archiving on: : Wednesday, April 3, 2019 - 4:09:48 PM

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  • HAL Id : hal-01968418, version 1

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CNRS | LIX | X-LIX | X | INRIA | X-DEP-INFO | ANR | GS-COMPUTER-SCIENCE

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Camille Chanial, Rédouane Dziri, Helena Galhardas, Julien Leblay, Minh-Huong Le Nguyen, et al.. ConnectionLens: Finding Connections Across Heterogeneous Data Sources. 34ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2018, Bucarest, Romania. ⟨hal-01968418⟩

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