Skip to Main content Skip to Navigation
Conference papers

Learning Queries for Relational, Semi-structured, and Graph Databases

Radu Ciucanu 1, 2, * 
* Corresponding author
1 LINKS - Linking Dynamic Data
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [41 references]  Display  Hide  Download
Contributor : Radu Ciucanu Connect in order to contact the contributor
Submitted on : Monday, May 11, 2015 - 4:19:15 PM
Last modification on : Wednesday, February 2, 2022 - 3:54:51 PM
Long-term archiving on: : Wednesday, April 19, 2017 - 7:30:55 PM


Publisher files allowed on an open archive



Radu Ciucanu. Learning Queries for Relational, Semi-structured, and Graph Databases. SIGMOD/PODS 2013 PhD Symposium, Jun 2013, New York, United States. ⟨10.1145/2483574.2483576⟩. ⟨hal-00839904⟩



Record views


Files downloads