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2010
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MashRank: Towards uncertainty-aware and rank-aware mashups

9 years 5 months ago
MashRank: Towards uncertainty-aware and rank-aware mashups
Mashups are situational applications that build data flows to link the contents of multiple Web sources. Often times, ranking the results of a mashup is handled in a materializethen-sort fashion, since combining multiple data sources usually destroys their original rankings. Moreover, although uncertainty is ubiquitous on the Web, most mashup tools do not reason about or reflect such uncertainty. We introduce MashRank, a mashup tool that treats ranking as a first-class citizen in mashup construction, and allows for rankjoining Web sources with uncertain information. To the best of our knowledge, no current tools allow for similar functionalities. MashRank encapsulates a new probabilistic model reflecting uncertainty in ranking, a set of techniques implemented as pipelined operators in mashup plans, and a probabilistic ranking infrastructure based on Monte-Carlo sampling.
Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas
Added 02 Aug 2010
Updated 02 Aug 2010
Type Conference
Year 2010
Where ICDE
Authors Mohamed A. Soliman, Mina Saleeb, Ihab F. Ilyas
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