Mapping a database into an ontology : an interactive relational learning approach

A crucial aspect when building a system which integrates data from multiple sources is to define mappings between schemas of the different sources. Using rewriting techniques, such mappings allow the integration system to translate queries posed over one schema into queries in the other schema. Building by hand such mappings is known to be non-evident and labor-intensive. In this paper, we propose an approach combining relational learning and user interaction to build mappings between a database and an ontology. The proposed approach allows to build mappings which can be complex queries over the source database. Furthermore, guarantees on the correctness of the mappings can be given.