Part of the ANR JCJC project PAGODA (2013-2017), led by Meghyn Bienvenu
Abstract
Ontology-based data access (OBDA) is a new paradigm in data management that seeks to exploit the semantic knowledge expressed in ontologies when querying data. Despite important recent advances, it is widely acknowledged that current OBDA querying algorithms do not demonstrate sufficient scalability. Moreover, they often make assumptions that limit their applicability (e.g. requiring that the data is free of contradictions, or that the data changes infrequently). Thus, before OBDA can be widely adopted in applications, much work remains to be done on developing practical OBDA algorithms. The main objective of this thesis is to propose novel algorithms for OBDA which demonstrate improved scalability and greater flexibility compared to the state-of-the-art.
Context
Objectives
Work program
Extra information
Prerequisite
Profile: someone who has taken a course on knowledge representation and reasoning, is comfortable and interested in more theoretical topics (logic, complexity, or database theory), and has some programming experience.
Détails
Expected funding
Research contract
Status of funding
Confirmed
Candidates
Plan to hire Camille Bourgaux, a Supelec student who is doing the IAC Master this year. She will do her Master's internship with us, and if all goes well, continue with us for her Phd thesis.
Utilisateur
meghyn.bienvenu
Créé
Mardi 26 février 2013 15:40:27 CET
dernière modif.
Mardi 26 février 2013 15:40:27 CET
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Connexion
Ecole Doctorale Informatique Paris-Sud
Directrice
Nicole Bidoit Assistante
Stéphanie Druetta Conseiller aux thèses
Dominique Gouyou-Beauchamps
ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info à lri.fr