Discovering complex mapping expressions with the TUPELO data mapping system
Proceedings of the first international workshop on Interoperability of heterogeneous information systems
Electronic Notes in Theoretical Computer Science (ENTCS)
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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The data mapping problem is to discover effective mappings between structured representations of data. These mappings are the basic 'glue' for facilitating large-scale ad-hoc information sharing between autonomous peers in a dynamic environment. Automating their discovery is one of the fundamental unsolved challenges for information integration and sharing on the Web. We outline a general approach to automating the discovery of mappings between relational data sources which leverages new perspectives on the data mapping problem and report on a prototype implementation. Our approach utilizes heuristic search within a space delineated by basic relational transformation operators. A further novelty of our approach is that these operators include data to metadata transformations (and vice versa), allowing a generalization of previous solutions such as token-based schema matching.