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UQBE: uncertain query by example for web service mashup
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International Conference on Management of Data archive
Proceedings of the 2008 ACM SIGMOD international conference on Management of data table of contents
Vancouver, Canada
DEMONSTRATION SESSION: Group 2 table of contents
Pages 1275-1280  
Year of Publication: 2008
ISBN:978-1-60558-102-6
Authors
Junichi Tatemura  NEC Laboratories America, Cupertino, CA, USA
Songting Chen  NEC Laboratories America, Cupertino, CA, USA
Fenglin Liao  University of California, Santa Barbara, Santa Barbara, CA, USA
Oliver Po  NEC Laboratories America, Cupertino, CA, USA
K. Selcuk Candan  NEC Laboratories America, Cupertino, CA, USA
Divyakant Agrawal  NEC Laboratories America, Cupertino, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bogdan Alexe, Laura Chiticariu, Renee J. Miller, and Wang-Chiew Tan. Muse: Mapping understanding and design by example. In ICDE 2008, 2008.
 
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Jorge Nocedal and Stephen Wright. Numerical Optimization. Springer, 2000.
 
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Collaborative Colleagues:
Junichi Tatemura: colleagues
Songting Chen: colleagues
Fenglin Liao: colleagues
Oliver Po: colleagues
K. Selcuk Candan: colleagues
Divyakant Agrawal: colleagues