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Conference papers

Towards Human-in-the-Loop Based Query Rewriting for Exploring Datasets

Abstract : Data exploration promotes a new querying philosophy that gradually converges into queries that can be used to exploit raw data collections according to data explorers (i.e., users) expectations. Data exploration aims to guide the understanding of data collections with different rawness degree and define the type of questions that can be asked on top of them, often through interactive exploration processes. This paper introduces a human-guided data exploration approach defining exploration operations that result in different types of factual and analytic queries. Our first results include a proposal of query morphing and queries as answers strategies. This paper describes an experiment setting used for testing the data exploration techniques.
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Conference papers
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Contributor : Genoveva Vargas-Solar Connect in order to contact the contributor
Submitted on : Saturday, March 27, 2021 - 7:08:22 PM
Last modification on : Tuesday, November 16, 2021 - 4:19:25 AM
Long-term archiving on: : Monday, June 28, 2021 - 6:26:21 PM


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  • HAL Id : hal-03183517, version 1


Genoveva Vargas-Solar, Mehrdad Farokhnejad, Javier Espinosa-Oviedo. Towards Human-in-the-Loop Based Query Rewriting for Exploring Datasets. Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, Mar 2021, Nicosia, Cyprus. ⟨hal-03183517⟩



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