Language features for interoperability of databases with schematic discrepancies
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
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ACM SIGMOD Record
Using schematically heterogeneous structures
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PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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Putting context into schema matching
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Enabling the interoperability of large-scale legacy systems
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
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We demonstrate a prototype of the relational data mapping module of MIQIS, a formal framework for investigating information flow in peer-to-peer database management systems. Data maps constitute effective mappings between structured data sources. These mappings are the `glue' for facilitating large scale ad-hoc information sharing between autonomous peers, and automating their discovery is one of the fundamental unsolved challenges for information interoperability and sharing. Our approach to automating data map discovery utilizes heuristic search within a space delineated by basic relational transformation operators. A novelty of our approach is that these operators include data to metadata transformations (and vice versa). This approach leverages new perspectives on the data mapping problem, and generalizes previous approaches such as token-based schema matching.