Ontology-based Data Management
In ottemperanza ai requisiti previsti dalla procedura valutativa per n.1 posto di Ricercatore a tempo determinato tipologia A - SC 09/H1 SSD ING-INF/05 - Dipartimento di Ingegneria Informatica Automatica e Gestionale "A. Ruberti", Codice Bando 2023RTDAPNRR001, pubblicato su Gazzetta Ufficiale N. 5 del 20.01.2023, si terrà il seguente seminario:
AUTORE: Gianluca Cima
DATA E ORARIO: Martedì 21 Marzo 2023 alle ore 14:00
LUOGO: Aula Magna del DIAG
TITOLO: Ontology-based Data Management
volto ad illustrare le attività di ricerca di Gianluca Cima, vincitore della suddetta procedura valutativa. Il seminario sarà anche trasmesso in modalità telematica su Zoom, all'indirizzo:
Meeting ID: 968 3743 0183
Abstract: In Ontology-based Data Management (OBDM), an ontology is linked to the data sources of an organization in order to integrate and manage data through concepts and relations. Typically, the ontology is a logic-based representation of a domain of interest, and the mapping specifies the relationship between the data at the sources and the elements in the ontology. While the great majority of contributions in OBDM in the last decade have been concerned with the issue of computing the answers to queries expressed over the ontology, this seminar will discuss a different reasoning task, namely Abstraction, which is essential to characterize or explain the semantics of data services in terms of the elements of the domain ontology. More precisely, given a data service expressed as a query over the source schema, Abstraction is the task of automatically deriving the query over the ontology that best describes the data service with respect to the underlying OBDM specification. This seminar will first offer a general overview of Abstraction and then discuss some recent
advances and open problems.
Short bio: Gianluca Cima obtained a PhD in Engineering in Computer Science from Sapienza University of Rome in 2020. During his PhD, he carried out a 6-months research visit at the University of Oxford and his PhD thesis received a recognition of outstanding quality from EurAI. Since February 2021, he has been a Postdoctoral Researcher at CNRS - University of Bordeaux. His research interests include Knowledge Representation, Semantic Web, and Theory of Data Management. He regularly serves as a reviewer for internationally renowned journals (e.g. AIJ, JoWS, JDIQ, and VLDB) and conferences (e.g. IJCAI, AAAI, and KR). He has co-authored several peer-reviewed papers published in top-class conferences of his research areas, including AAAI, CIKM, IJCAI, KR, LICS and PODS.