ConnectionLens: Finding Connections Across Heterogeneous Data Sources

Camille Chanial; Rédouane Dziri; Helena Galhardas; Julien Leblay; Minh-Huong Le Nguyen; Ioana Manolescu

ConnectionLens: Finding Connections Across Heterogeneous Data Sources

Camille Chanial ^{1, 2} Rédouane Dziri ³ Helena Galhardas ⁴ Julien Leblay ^{5, 2} Minh-Huong Le Nguyen ^{1, 6} Ioana Manolescu ^{1, 6}

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 OAK - Database optimizations and architectures for complex large data

CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique

6 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]

Document type :

Conference papers

Domain :

Computer Science [cs] / Databases [cs.DB]

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https://hal.inria.fr/hal-01968418
Contributor : Ioana Manolescu <>
Submitted on : Wednesday, January 2, 2019 - 5:00:07 PM
Last modification on : Monday, December 9, 2019 - 5:24:07 PM
Long-term archiving on: Wednesday, April 3, 2019 - 4:09:48 PM

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