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Automatic Data Quality Assessment of Hydrographic Surveys Taking Into Account Experts' Preferences

Abstract : Data quality assessment of hydrographic surveys is a complex problem, since context dependent acquisition conditions using multiple sensors contribute to numerous data imperfections, which have different consequences depending on the intended final product. In this work we propose a generic methodology integrating experts' preferences through multi-criteria preference models with data quality techniques to generate explainable overall quality assessments of hydrographic surveys which depend on the expected end-uses. Four hydrographic surveys of different geographic locations and contrasting characteristics were studied, according to the preferences of an acoustician, an oceanographer, and a hydrographer. The obtained results indicate that each survey was appropriately evaluated, indicating the reasons that led to the specific assessment. Index Terms-hydrographic survey, data quality assessment, preference modelling, multi-criteria decision aiding.
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Submitted on : Tuesday, February 22, 2022 - 8:56:21 AM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Monday, May 23, 2022 - 6:13:35 PM


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Julian Le Deunf, Arwa Khannoussi, Laurent Lecornu, Patrick Meyer, John Puentes. Automatic Data Quality Assessment of Hydrographic Surveys Taking Into Account Experts' Preferences. OCEANS 2021: San Diego – Porto, Sep 2021, San Diego, United States. pp.1-10, ⟨10.23919/OCEANS44145.2021.9705772⟩. ⟨hal-03583723⟩



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