The advancements of Internet accelerate the intelligent process of data integration in recent years. When fusing a volume of records about the same real-world entity into a single, consistent and clean representation, appropriate conflicts conciliation becomes essential for participants. This paper advocates a strategic framework for perceiving and resolving data inconsistencies via employing truth finding and data fusion. The experimental result shows that the algorithm could leverage correctness and time consuming concurrently.
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