Learning Queries for Relational‚ Semi−structured‚ and Graph Databases

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.