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Increasing volumes of data are generated from a variety of industries, organizations and people. Such data is now seen as a key business asset, since analysing it allows business decision makers to make choices with confidence. This data is often "big data" -a data of such volume, velocity and variety that conventional processing techniques are not suitable. We research the specific challenge of variety, where data comprises a number of incompatible formats. Semantic technology, or the use ofdoi:10.1109/cbi.2017.71 dblp:conf/wecwis/QuboaM17 fatcat:rrq6e24vvrgttjw66vbqxcpyli