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Knowledge Graphs and Big Data Processing
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  • Title Knowledge Graphs and Big Data Processing
  • Author(s) Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger
  • Publisher: Springer; 1st ed. (July 16, 2020); eBook (Creative Commons Licensed)
  • License(s): CC BY 4.0
  • Hardcover/Paperback 224 pages
  • eBook PDF (212 pages) and ePub
  • Language: English
  • ASIN: N/A
  • ISBN-10: 3030531988
  • ISBN-13: 978-3030531980
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Book Description

Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others.

The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications.

Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions.

About the Authors
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