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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20241027T030000
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DTSTART:20250330T020000
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UID:calendar.28626.field_data.0@www.diag.uniroma1.it
DTSTAMP:20260309T112643Z
CREATED:20241205T224848Z
DESCRIPTION:Nell'ambito della procedura selettiva per il reclutamento di 1 
 ricercatore a tempo determinato tipologia A tempo pieno proc. 1/2024 GSD 0
 9/IINF-05 - SSD IINF-05/A\, presso il Dipartimento di Ingegneria informati
 ca\, automatica e gestionale Antonio Ruberti\, bandita con D.D. n. 3712 de
 l 26/7/2024\, Lorenzo Marconi terrà un seminario pubblico in data 10/12/20
 24\, alle ore 16:00\, presso l’Aula Magna del DIAG\, e in collegamento Zoo
 m\, link alla videochiamata: https://uniroma1.zoom.us/j/83356128588?pwd=qJ
 8Z9uO3OTHqNuqNMJ9mc09znhC6mp.1Title: Privacy-preserving query answering in
  Description Logics ontologiesAbstract: In recent decades\, the widespread
  use of information systems has led to an increasing amount of sensitive d
 ata managed\, posing several privacy and security risks. Controlled Query 
 Evaluation (CQE) is a framework for limiting access to sensitive informati
 on when querying a system\, while still providing useful responses. Initia
 lly proposed for databases\, CQE has recently been studied for Description
  Logics ontologies\, the logical formalization underpinning most Semantic 
 Web technologies. Central to CQE is the possibility of specifying a data p
 rotection policy in a declarative way\, avoiding the need to actively alte
 r data to ensure their security. The policy is enforced via optimal censor
 s\, which aim to minimally alter information while maintaining confidentia
 lity. In this seminar we investigate various semantics for confidentiality
 -preserving query answering based on censors\, discussing their tractabili
 ty\, expressivity and other formal properties\, with a particular focus on
  DL-Lite ontologies.We also discuss an experimental setting\, wherein we i
 mplemented the newly-presented CQE techniques adapting them to the Ontolog
 y-based Data Access methodology.Short bio: Lorenzo Marconi obtained his Ph
 .D. in May 2024 from Sapienza University of Rome\, with a dissertation tit
 led 'Privacy-preserving and Inconsistency-tolerant Query Answering in Know
 ledge Bases and Databases'. During his Ph.D.\, he conducted a five-month r
 esearch visit at LaBRI\, a CNRS research unit in Talence\, Bordeaux. He is
  currently a research fellow at DIAG\, Sapienza University of Rome. In 202
 4\, he co-authored the paper 'Enhancing Controlled Query Evaluation throug
 h Epistemic Policies' which received the Distinguished Paper Award at the 
 IJCAI 2024 conference.  
DTSTART;TZID=Europe/Paris:20241210T160000
DTEND;TZID=Europe/Paris:20241210T160000
LAST-MODIFIED:20241206T113826Z
LOCATION:Aula Magna DIAG
SUMMARY:Seminario pubblico di Lorenzo Marconi - Lorenzo Marconi
URL;TYPE=URI:https://www.diag.uniroma1.it/node/28626
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