In the last few years, an increasing number of devices generated vast amounts of data, commonly called Big Data. This phenomenon brought many opportunities - and challenges - in terms of knowledge discovery, as distributed and heterogeneous data may be combined and used to create high-quality models of events and phenomena. Although, the data integration and the transformations over it bring questions about integrity, quality and veracity. Our investigation aims to create a generic model to integrate the data allowing the data enrichment while maintaining provenance information.
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