Principles of dataspace systems
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Query optimization over web services
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ULDBs: databases with uncertainty and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
SPIDER: a schema mapPIng DEbuggeR
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Data integration with uncertainty
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Muse: Mapping Understanding and deSign by Example
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Extracting data records from the web using tag path clustering
Proceedings of the 18th international conference on World wide web
Search Computing
PPPDM - a privacy-preserving platform for data mashup
International Journal of Grid and Utility Computing
Query-by-example approach towards on-demand multidimensional analysis
International Journal of Business Intelligence and Data Mining
A preference-aware query model for data web services
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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The UQBE is a mashup tool for non-programmers that supports query-by-example (QBE) over a schema made up by the user without knowing the schema of the original sources. Based on automated schema matching with uncertainty, the UQBE system returns the best confident results. The system lets the user refine them interactively. A tuple in the query result is associated with lineage that is a boolean formula over schema matching decisions representing underlying conditions on which the corresponding tuple is included in the result. Given binary feedbacks on tuples by the user, which are possibly imprecise, the system solves it as an optimization problem to refine confidence values of matching decisions. The demo features graphical user interaction on the UQBE system, including querying and refinement.