Data analytics can be problematic in real-world settings, where data sources are often distributed, heterogeneous, and dynamic. Semantic technologies can now offer a practical solution that addresses scalability and usability issues, and has been successfully deployed in industry applications.
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Horrocks et al. (2016) studied this question.
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