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!
Angelos Anadiotis, Oana Balalau, Helena Galhardas, Ioana Manolescu and Youssr Youssef attended the DataHarvest Investigative Journalism Conference on Oct 24, 2020, where, at the invitation of Stéphane Horel (Le Monde), we discussed SourcesSay applications to computational journalism.
SourcesSay is among the 14 AI chairs presented at the DataIA Kick-Off meeting, at Centrale Supélec, on September 9, 2020.
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…
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.
Ioana Manolescu gave a keynote titled “From Data to the Press: Data Management for Journalism and Fact-Checking” at the DATA conference 2020 http://www.dataconference.org/KeynoteSpeakers.aspx#2 Video available: https://player.vimeo.com/video/438613563?title=0&portrait=0
Inria’s presentation of the chair: https://www.inria.fr/fr/sourcessay as one of Inria’s AI chairs: https://www.inria.fr/fr/inria-decroche-un-quart-des-chaires-anr-en-ia
