Keynote at ISWC 2024
Ioana Manolescu presented SourcesSay scientific results (from the ConnectionLens, Abstra and PathWays projects) in an invited keynote “Retrieve (and Leverage) the Inner Graph Behind the Data” at the ISWC 2024 conference.
Category: Conference
Keynote at GRADES 2024
SciCAR2023: Building a Conflict of Interest Database
Statistical fact-checking and dataset abstraction at ACM CIKM 2022
The demonstrations: “Abstra: Toward Generic Abstractions for Data of Any Model” by Nelly Barret, Ioana Manolescu and Prajna Upadhyay and “Statistical Claim Checking: StatCheck in Action” by Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin have…
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.
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)
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.…
SourcesSay keynote at ICFCA 2021
Ioana Manolescu gave a keynote talk on the SourcesSay project at the International Conference on Formal Concept Analysis (ICFCA) 2021 (slides)
Keynote talk at KnoD 2021
Ioana Manolescu gave an invited keynote at the Int.’l workshop on Knowledge Graphs for Online Discourse Analysis (KnoD) describing results from the ContentCheck project as well as from SourcesSay, in particular, the ConnectionLens platform.
Keynote at GRADES 2024
SciCAR2023: Building a Conflict of Interest Database
Statistical fact-checking and dataset abstraction at ACM CIKM 2022
The demonstrations: “Abstra: Toward Generic Abstractions for Data of Any Model” by Nelly Barret, Ioana Manolescu and Prajna Upadhyay and “Statistical Claim Checking: StatCheck in Action” by Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin have…
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.
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)
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.…
SourcesSay keynote at ICFCA 2021
Ioana Manolescu gave a keynote talk on the SourcesSay project at the International Conference on Formal Concept Analysis (ICFCA) 2021 (slides)
Keynote talk at KnoD 2021
Ioana Manolescu gave an invited keynote at the Int.’l workshop on Knowledge Graphs for Online Discourse Analysis (KnoD) describing results from the ContentCheck project as well as from SourcesSay, in particular, the ConnectionLens platform.
