PhD of Nelly Barret starts

Nelly Barret has started a PhD funded by DIM RFSI on “Efficient and Expressive Integration of Information within ConnectionLens”, in collaboration with the WeDoData SME. The research and development in this thesis will shoulder the SourcesSay project and also aim to address applications of interest to WeDoData. Welcome!

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SourcesSay and ConnectionLens featured in ADBIS 2020 keynote

Ioana’s  keynote at ADBIS 2020, titled “Integrating (Very) Heterogeneous Data Sources: A Structured and an Unstructured Perspective“, featured recent results on ConnectionLens and SourcesSay’s perspectives.   The video (for now) is here: http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/pres/Keynote4Manolescu/Keynote-IoanaManolescu-ADBIS2020.mp4 Thanks to Angelos, Oana, Irène, Camille, Catarina, Jérémie, Yamen, Minh-Huong, Julien, Tayeb, Emmanuel, Youssr and Jingmao for…

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Code release: ConnectionLens available online!

The ConnectionLens platform is available online in Inria’s GitLab: https://gitlab.inria.fr/cedar/connectionlens ConnectionLens ingests heterogeneous data sources (JSON, XML, HTML, CSV, RDF, relational databases, text files, PDF) into a single, integrated graph. It stores these graphs and allows querying them using keywords, and connecting them through a GUI.

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