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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Adedoyin Ahmed Hussain is currently a Ph.D. student at Near East University in the Turkish Republic of Northern Cyprus. He holds a MSc. degree in Computer Engineering from Near East University, Turkish Republic of Northern Cyprus, in 2019. He is serving as a reviewer in several notable journals.
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Taschenbuch. Zustand: Neu. Business Intelligence and Semantic Web in Emerging Tech Era | Adedoyin Ahmed Hussain | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786139463794 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 120476612
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