SourcesSay at DEBS 2022
Ioana Manolescu gave an invited keynote titled “Teasing journalistic findings out of heterogeneous sources: a data/AI journey”, at the Distributed Event-Based Systems (DEBS) 2022.
SourcesSay presentation at Inria Sophia Antipolis Méditerranée
Ioana Manolescu presented an invited talk titled “Teasing Journalistic Findings out of Heterogeneous Sources: A Data/AI journey” in the Colloque Jacques Morgenstern at Sophia Antipolis, on June 2, 2022. Video here: https://www.canal-u.tv/chaines/inria/teasing-journalistic-findings-out-of-heterogeneous-sources-a-dataai-journey
Ioana Manolescu’s presentation at Académie des Technologies
Ioana Manolescu presented « Que disent les sources ? L’IA et le BigData au service de la détection des fausses nouvelles » at the seminar of Pôle numérique de l’Académie des Technologies, on May 10, 2022.
I. Manolescu presented SourcesSay at Supelec’s Automatants AI Evening
Ioana Manolescu presented SourcesSay at the “Soirée IA” event organized by Automatants, a student’s association from Centrale Supélec.
Angelos Anadiotis invited talk at U. Cornell DB Seminar
Angelos Anadiotis presented our work on conflicts of interest in the biomedical domain at the University of Cornell Database Seminar on April 18, 2022. Angelos-Christos Anadiotis from @Polytechnique / @INRIA discusses how to pursue conflicts of interest across heterogeneous data sources. Join us on Monday, 1 PM ET in the…
DASFAA 2022 keynote
Ioana Manolescu presented the keynote “Teasing journalistic findings out of heterogeneous sources: a data/AI journey” at the DASFAA 2022 conference (slides)
Ioana Manolescu on Fake News at “Festival des Idées”
“Festival des Idées” was held in Paris on November 18-20, 2021. Ioana Manolescu was a panelist in #NousSachons : le futur de l’information en péril ? , on Nov 19.
Empowering Investigative Journalism with Graph-Based Heterogeneous Data Management: ACM CIKM 2021 and IEEE Data Engineering Bulletin
Our demonstration “Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens” by Angelos-Christos Anadiotis, Oana Balalou, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Yamen Haddad, Stéphane Horel, Ioana Manolescu, Youssr Youssef appears today in the ACM CIKM International Conference! The video is available at https://www.youtube.com/watch?v=5B0KRow0dv8 while the companion paper appears…
Dataset abstraction and efficient information extraction: SourcesSay at BDA 2021
Our project was present at the BDA 2021 conference with two short papers, a PhD paper, and a demonstration: “Efficiently identifying pseudo-nulls in heterogeneous text data” authored by Théo Bouganim, Helena Galhardas and Ioana Manolescu. “Toward Generic Abstractions for Data of Any Model” authored by Nelly Barret, Ioana Manolescu and Prajna Upadhyay.…
Ghufran Khan joins the team
Mohammad Ghufran Khan joins the team as a PhD student. Co-supervised by Angelos Anadiotis and Ioana Manolescu, he will be carrying research on efficient in-memory graph query processing.