Inferring Data Currency and Consistency for Conflict Resolution

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Provided by: University of Economics, Prague
Topic: Big Data
Format: PDF
In this paper, the authors introduce a new approach for conflict resolution: given a set of tuples pertaining to the same entity, it is to identify a single tuple in which each attribute has the latest and consistent value in the set. This problem is important in data integration, data cleaning and query answering. It is, however, challenging since in practice, reliable timestamps are often absent, among other things. They propose a model for conflict resolution, by specifying data currency in terms of partial currency orders and currency constraints, and by enforcing data consistency with constant conditional functional dependencies.
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