The semantic web in general can be considered as a way to develop semantic data using standard technologies. Business Intelligence (BI) includes techniques and advancements for the investigation of business data. Along these lines BI utilizes heterogeneous information for the examination of the past present and eventual fate of tasks while breaking down and inferencing heterogeneous data. Business information can be gathered utilizing information mining from online assets reports web-based media and various sources. These issues can be reduced generally by utilizing Semantic Web (SW). Along these lines BI can profit from SW innovations and emerging technologies. SW gives advances to make rich justifiable information that can be consequently handled dissected and devoured by astute applications. In this book we audit BI techniques that apply SW for astute information mining preparing and examination of BI systems. We examine how emerging technology advancements can be incorporated with SW and BI. Specifically we sum up and look at the changed properties of SW and BI strategies how they handle enormous information and what computerized reasoning methods are applied.
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