Abstract
NoSQL stores offer a new cost-effective and schema-free system. Although it is widely accepted today, Business Intelligence & Analytics (BIA and (ii) identifying candidate pairs of identifier and reference fields. We use scoring features and pruning rules based on both syntactic and semantic aspects to efficiently discover true candidates from a huge number of initial ones. Finally, we report our experimental findings that show very promising results.
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