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Transforming Heterogeneous Data with Database Middleware: Beyond Integration

... M Schwarz, P Wimmers, E ... sources. To be effective, such systemsmust provide a unified, queryable schema, and must be able to transform data from different ...

Publication - massmann - 04/17/2013 - 10:38 - 0 comments - 1 attachment

Data integration by bi-directional schema transformation rules

... McBrien, P; Poulovassilis, A Author:  ...

Publication - cat - 04/17/2013 - 07:16 - 0 comments - 0 attachments

Ten challenges for ontology matching

... Shvaiko, P; Euzenat, J Author:  ... developed so far, there is no integrated solution that is a clear success, which is robust enough to be the basis for future development, ...

Publication - cat - 04/16/2013 - 06:05 - 0 comments - 0 attachments

Learning to Match the Schemas of Data Sources: A Multistrategy Approach

... Doan, A.; Domingos, P.; Halevy, A. Author:  ...

Publication - huliganka - 04/16/2013 - 05:27 - 0 comments - 0 attachments

Model management 2.0: manipulating richer mappings

... Bernstein, P.A.; Melnik, S. Author:  ...

Publication - huliganka - 04/16/2013 - 03:16 - 0 comments - 1 attachment

Ontology Matching: A Machine Learning Approach

... Doan, A Madhavan, J Domingos, P Halevy, A ...

Publication - admin - 04/15/2013 - 20:49 - 0 comments - 0 attachments

Semantic similarity in biomedical ontologies

... Pesquita, C; Faria, D; Falcão, AO; Lord, P; Couto, FM Author:  ... In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are ...

Publication - cat - 04/15/2013 - 20:38 - 0 comments - 0 attachments