A Probabilistic Optimization Framework for the Empty-Answer Problem

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Provided by: VLD Digital
Topic: Big Data
Format: PDF
The authors propose a principled optimization-based interactive query relaxation framework for queries that return no answers. Given an initial query that returns an empty answer set, their framework dynamically computes and suggests alternative queries with less conditions than those the user has initially requested, in order to help the user arrive at a query with a non-empty answer, or at a query for which no matter how many additional conditions are ignored, the answer will still be empty.
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