A holistic and principled approach for the empty-answer problem
Autor: | Davide Mottin, Themis Palpanas, Senjuti Basu Roy, Yannis Velegrakis, Gautam Das, Alice Marascu |
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Rok vydání: | 2016 |
Předmět: |
Web search query
Theoretical computer science View Computer science Online aggregation 02 engineering and technology Query language Query optimization Spatial query Query expansion Hardware and Architecture Web query classification 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Sargable Query by Example computer Computer Science::Databases Boolean conjunctive query Information Systems computer.programming_language RDF query language |
Zdroj: | The VLDB Journal. 25:597-622 |
ISSN: | 0949-877X 1066-8888 |
DOI: | 10.1007/s00778-016-0431-8 |
Popis: | We 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, our framework dynamically computes and suggests alternative queries with fewer 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. Our proposed approach for suggesting query relaxations is driven by a novel probabilistic framework based on optimizing a wide variety of application-dependent objective functions. We describe optimal and approximate solutions of different optimization problems using the framework. Moreover, we discuss two important extensions to the base framework: the specification of a minimum size on the number of results returned by a relaxed query and the possibility of proposing multiple conditions at the same time. We analyze the proposed solutions, experimentally verify their efficiency and effectiveness, and illustrate their advantages over the existing approaches. |
Databáze: | OpenAIRE |
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