Business Intelligence and Semantic Web in Emerging Tech Era
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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). ...
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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