Titlebook: Relational Calculus for Actionable Knowledge; Michel Barès,Éloi Bossé Book 2022 The Editor(s) (if applicable) and The Author(s), under exc

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Conclusion, called “data science” is to turn data into actionable knowledge to exploit the increasing data volumes and deal with their inherent complexity (Big data and IoT). The advances in networking capabilities have created the conditions of complexity by enabling richer, real-time interactions between and

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Book 2022 in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to dat

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Introduction to Actionable Knowledge,tions and situation awareness, and analytics and information fusion are being introduced. These notions are necessary to position relational calculus in the processes of creating actionable knowledge.

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The Infocentric Knowledge Processing Chain, and particularly for a knowledge processing chain, since the objective is to improve, through processing, data, information, and knowledge quality. Various aspects of Quality of Information (QoI) are then discussed with emphasis on uncertainty-based information.

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