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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.
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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⟩

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