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• W2939394909 abstract "How should a cleaning system measure the amount of inconsistency in the database? Proper measures are important for quantifying the progress made in the cleaning process relative to the remaining effort and resources required. Similarly to effective progress bars in interactive systems, inconsistency should ideally diminish steadily and continuously while aiming to avoid jitters and jumps. Moreover, measures should be computationally tractable towards online applicability. Building on past research on inconsistency measures for knowledge bases, we embark on a systematic investigation of the rationality postulates of inconsistency measures in the context of database repair systems. The vision is to establish postulates that take into consideration the interplay between the database tuples, the integrity constraints, and the space of atomic repairing operations, and that guide the design of practical measures and progress indicators. Toward that, we shed light on classic measures by examining them against a set of rationality postulates. We also demonstrate the feasibility of the postulates by proposing a measure that is both rational and tractable for the general class of denial constraints, under the restriction of the repairing operations to tuple deletions." @default.
• W2939394909 created "2019-04-25" @default.
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• W2939394909 date "2019-04-13" @default.
• W2939394909 modified "2023-09-27" @default.
• W2939394909 title "Principles of Progress Indicators for Database Repairing." @default.
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