Technologies and Applications for Big Data Value

Edition

-

ISBN/ISSN

978-3-030-78306-8

Collation

-

Series Title

-

Call Number

-

Data Spaces

igital transformation, data ecosystems, and Data Spaces are inevitable parts of our future. The book aims to educate the reader on data sharing and exchange techniques using Data Spaces. It will address and explore the cuttingedge theory, technologies, methodologies, and best practices for Data Spaces for both industrial and personal data. The book provides the reader with a basis for unde…

Real-time Linked Dataspaces : Enabling Data Ecosystems for Intelligent Systems

This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration …

New Horizons for a Data-Driven Economy

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different se…

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning…

New Horizons For a Data-Driven Economy: a Roadmap For Usage and Exploitation …

Information Storage and Retrieval; Innovation/Technology Management; Computer Applications; Computers and Society; Big data