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UID:0-291@lisn.upsaclay.fr
DTSTART;TZID=Europe/Paris:20250916T143000
DTEND;TZID=Europe/Paris:20250916T163000
DTSTAMP:20250901T081048Z
URL:https://www.lisn.upsaclay.fr/evenements/data-integration-a-perpetually
 -evolving-challenge-for-new-research-perspectives/
SUMMARY:Data Integration: A perpetually evolving challenge for new research
  perspectives
DESCRIPTION:Jury\nAmel Bouzeghoub\, Professeure\, Telecom SudParis\, Labora
 toire Samovar\, examinatrice\nZoubida Kedad\, Professeure\, Université Ve
 rsailles Saint-Quentin-en-Yvelines Université Paris-Saclay\, Laboratoire 
 DAVID\, examinatrice\nMohan C. Mohan\, Distinguished Professor\, IBM/Hong 
 Kong Baptist University\, examinateur\nPaolo Papotti\, Associate Professor
 \, Eurecom (reviewer)\, rapporteur et examinateur\nPascal Poncelet\, Profe
 sseur\, Université de Montpellier\, Laboratoire LIRRM\, rapporteur et exa
 minateur\nGenoveva Vargas-Solar\, Chargée de recherche\, CNRS\, Laboratoi
 re LIRIS\, rapporteur et examinatrice\nRésumé\nData is everywhere and ca
 n be produced and stored from everyday scenarios. The structures used for 
 storing data are heterogeneous\, continuously evolving\, and consumed by a
 pplications according to different patterns. It is demonstrated that most 
 of the value of any application is in the ability to access useful and rel
 iable data. From data processing\, we can extract value and insights. In a
 ddition\, the more different and heterogeneous the data are\, the more cha
 llenging it is to analyze\, understand\, and make predictions on top of th
 em. In my work\, I summarize part of my research contributions to the fiel
 d of heterogeneous data integration. First\, I present the classical data 
 integration scenarios on NoSQL databases. Then I address the challenge of 
 developing new integration techniques conceived for feeding Artificial Int
 elligence algorithms. The illustration will focus on applications arising 
 from multiple domains used as case studies during the development of the r
 esearch ideas: smart cities\, carbon storage\, user profiling\, music reco
 gnition\, and medical data integration. Finally\, I investigate the applic
 ation of data integration techniques to new challenges and the development
  of new prospective oriented in data for AI.\nManuscrit (lien externe)
CATEGORIES:Science des Données,Thèses et HDR
LOCATION:LISN Site Plaine – Digitéo\, 1 rue René THOM 91190 Gif-sur
 -Yvette\, France
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DTSTART:20250330T030000
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