Supporting executable mappings in model management
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
HePToX: marrying XML and heterogeneity in your P2P databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Nested mappings: schema mapping reloaded
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Clip: a Visual Language for Explicit Schema Mappings
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Mosto: generating SPARQL executable mappings between ontologies
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
Efficient management of uncertainty in XML schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
MostoDE: A tool to exchange data amongst semantic-web ontologies
Journal of Systems and Software
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Many data integration solutions in the market today include visual tools for schema mapping. Users connect schema elements with lines that are interpreted as high-level logical expressions capturing the relationship between source and target data-sets. These expressions are compiled into queries or programs that convert source-side data instances into target-side instances. In this demo we showcase Clip, an XML Schema mapping tool. Clip is distinguished from existing tools in that mappings explicitly specify structural transformations in addition to value correspondences. We show how Clip's users enter mappings by drawing lines and how these lines are translated into XQuery.