Learning Queries for Relational, ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
Learning Queries for Relational, Semi-structured, and Graph Databases
Author(s) :
Ciucanu, Radu [Auteur correspondant]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Linking Dynamic Data [LINKS]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Linking Dynamic Data [LINKS]
Conference title :
SIGMOD/PODS 2013 PhD Symposium
City :
New York
Country :
Etats-Unis d'Amérique
Start date of the conference :
2013-06-23
HAL domain(s) :
Informatique [cs]/Base de données [cs.DB]
English abstract : [en]
Web applications store their data within various database models, such as relational, semi-structured, and graph data models to name a few. We study learning algorithms for queries for the above mentioned models. As a ...
Show more >Web applications store their data within various database models, such as relational, semi-structured, and graph data models to name a few. We study learning algorithms for queries for the above mentioned models. As a further goal, we aim to apply the results to learning cross-model database mappings, which can also be seen as queries across different schemas.Show less >
Show more >Web applications store their data within various database models, such as relational, semi-structured, and graph data models to name a few. We study learning algorithms for queries for the above mentioned models. As a further goal, we aim to apply the results to learning cross-model database mappings, which can also be seen as queries across different schemas.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Files
- https://hal.inria.fr/hal-00839904/document
- Open access
- Access the document
- https://hal.inria.fr/hal-00839904/document
- Open access
- Access the document
- document
- Open access
- Access the document
- ciucanu-sigmodphd13.pdf
- Open access
- Access the document
- document
- Open access
- Access the document
- ciucanu-sigmodphd13.pdf
- Open access
- Access the document