Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Using Schema Matching to Simplify Heterogeneous Data Translation
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
A Machine Learning Approach to Rapid Development of XML Mapping Queries
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
An approach to the benchmark development for data exchange tools
DBA'06 Proceedings of the 24th IASTED international conference on Database and applications
An XML document transformation algorithm inferred from an edit script between DTDs
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
The generation Y of XML schema matching panel description
XSym'07 Proceedings of the 5th international conference on Database and XML Technologies
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We focus on the problem of data transformations, i.e., how to transform data to another structure to adapt it to new application requirements or given environments. Here, we define data transformation as the process of taking as input two schemas A and B and an instance of A, and producing an instance of B. Today, data transformations are required in many situations: to integrate multiple information sources, to construct and receive data for Web services, and to migrate data from legacy systems to new systems, from local databases to data warehouses. This demonstration focuses on XML transformations, since XML is the de facto standard for data exchange.