Publication | Closed Access
Progressive approach to relational entity resolution
66
Citations
18
References
2014
Year
Relational DatabaseEngineeringResolution CostSemanticsSemantic WebProgressive ApproachInformation RetrievalData ScienceResolution BudgetManagementData IntegrationSemi-structured DataBig DataData ManagementVery Large DatabaseEntity DisambiguationComputer ScienceDistributed Query ProcessingDatabase TheoryQuery OptimizationRelational QueriesAutomated ReasoningData Modeling
This paper proposes a progressive approach to entity resolution (ER) that allows users to explore a trade-off between the resolution cost and the achieved quality of the resolved data. In particular, our approach aims to produce the highest quality result given a constraint on the resolution budget, specified by the user. Our proposed method monitors and dynamically reassesses the resolution progress to determine which parts of the data should be resolved next and how they should be resolved. The comprehensive empirical evaluation of the proposed approach demonstrates its significant advantage in terms of efficiency over the traditional ER techniques for the given problem settings.
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