Databases-Web-Information Retrieving
- Domaine
- Databases-Web-Information Retrieving
- Domain - extra
- Année
- 2010
- Starting
- October
- État
- Closed
- Sujet
- Efficient Querying for the Semantic Web
- Thesis advisor
- GOASDOUE François
- Co-advisors
- Manolescu Ioana, INRIA Saclay, co-advisor (50%)
- Laboratory
- Collaborations
- Abstract
- The subject we propose seeks to further the understanding of the possible interplay between query processing and Semantic Web-style reasoning. We consider in particular the efficient querying of RDF data, since RDF is by now widely accepted as a standard for Web data.
- Context
- We witness an increasing convergence of efforts in the areas of data management and Semantic Web. This is due partly to the recent interest of the database community in the management of unstructured semantic Web data (such as RDF) and on the other hand, to the increasing availability of models, tools and techniques for handling knowledge (around the RDF-S and OWL technologies, as well as on the fundamental side around suitable Description Logics models for such technologies).
Research carried in the Leo group (http://leo.saclay.inria.fr) has focused on the efficient querying of Web data described by distributed knowledge. These works have lead in particular to building the SomeWhere distributed inference platform and the ViP2P distributed RDF and XML data management platform, both validated by large-scale experiments on several hundreds of peers. This research work is related to the ANR projects WebContent (ended in 2009) and CODEX (2009-2012).
- Objectives
- 1. Automated selection of materialized views: RDF data lacks structure and state-of-the-art storage models are quite primitive. When a query workload is known, we seek to exploit it by adding a set of data access support structures in order to improve the efficiency of query answering.
2. Large-scale distributed RDF data management: Large volumes of RDF data require distributed platforms to handle them. We envision two distribution models, namely the structured peer-to-peer networks and the cloud computing environment.
3. OLAP processing for RDF: In a recent proposal, we planned to work on devising a model, languages, and practical algorithms for analytical processing on RDF. - Work program
- Extra information
- Prerequisite
- The candidate should have solid background on data and knowledge management systems, on the practical and formal side. The project is likely to involve significant system prototyping, to be carried in collaboration with engineers, researchers, and other students.
- Détails
sujetThese2010.pdf- Expected funding
- Institutional funding
- Status of funding
- Confirmed
- Candidates
- Julien Leblay, Master 2 Intelligence Artificielle et Décision de P6 (UPMC).
- Utilisateur
- Créé
- Mercredi 07 avril 2010 16:04:26 CEST
- dernière modif.
- Mercredi 08 septembre 2010 13:43:36 CEST
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