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)
Category: talk
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 at Journée Thématique: “IA – Applications et défis mathématiques”, INSA Rouen
Ioana Manolescu has presented “What do the Sources Say? Interweaving Data Sources with the Help of AI for Journalistic Data Integration” at the “Intelligence Artificielle & Entreprises – Applications et défis mathématiques” meeeting at INSA Rouen, on Sept 30, 2021.
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)
SourcesSay at PFIA 2021
The SourcesSay project was presented on June 30, 2021, at “Défense et IA” next to PFIA 2021 (slides).
LIG Keynote Speech
Ioana Manolescu presented ConnectionLens and SourcesSay research in a keynote speech at LIG, titled “What do the Sources Say? Exploring Heterogeneous Journalistic Data As a Graph”, on May 6, 2021.
Invited talk in the “Trustworthy Data Science and AI” at U. Simon Fraser, Canada
Ioana Manolescu presented the ConnectionLens model for data integration and journalistic applications in the Trustworthy Data Science and AI Webinar series at the Simon Fraser University, Canada (slides, recorded video)
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.
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 at Journée Thématique: “IA – Applications et défis mathématiques”, INSA Rouen
Ioana Manolescu has presented “What do the Sources Say? Interweaving Data Sources with the Help of AI for Journalistic Data Integration” at the “Intelligence Artificielle & Entreprises – Applications et défis mathématiques” meeeting at INSA Rouen, on Sept 30, 2021.
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)
SourcesSay at PFIA 2021
The SourcesSay project was presented on June 30, 2021, at “Défense et IA” next to PFIA 2021 (slides).
LIG Keynote Speech
Ioana Manolescu presented ConnectionLens and SourcesSay research in a keynote speech at LIG, titled “What do the Sources Say? Exploring Heterogeneous Journalistic Data As a Graph”, on May 6, 2021.
Invited talk in the “Trustworthy Data Science and AI” at U. Simon Fraser, Canada
Ioana Manolescu presented the ConnectionLens model for data integration and journalistic applications in the Trustworthy Data Science and AI Webinar series at the Simon Fraser University, Canada (slides, recorded video)
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.
