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Knowledge Graphs and Big Data Processing

Editors: Janev, V., Graux, D., Jabeen, H., Sallinger, E. (Eds.)

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  • Open AccessStudies the potentials, prospects, and challenges of Big Data Analytics in real-world applicationsAddresses pertinent aspect of the data processing chain

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eBook  
  • ISBN 978-3-030-53199-7
  • This book is an open access book, you can download it for free on link.springer.com
Softcover 41,59 €
price for Spain (gross)
  • ISBN 978-3-030-53198-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. 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.

This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Chapter 1 Ecosystem of Big Data

    Pages 3-19

    Janev, Valentina

  • Chapter 2 Knowledge Graphs: The Layered Perspective

    Pages 20-34

    Bellomarini, Luigi (et al.)

  • Chapter 3 Big Data Outlook, Tools, and Architectures

    Pages 35-55

    Jabeen, Hajira

  • Chapter 4 Creation of Knowledge Graphs

    Pages 59-72

    Dimou, Anastasia

  • Chapter 5 Federated Query Processing

    Pages 73-86

    Endris, Kemele M. (et al.)

Buy this book

eBook  
  • ISBN 978-3-030-53199-7
  • This book is an open access book, you can download it for free on link.springer.com
Softcover 41,59 €
price for Spain (gross)
  • ISBN 978-3-030-53198-0
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Knowledge Graphs and Big Data Processing
Editors
  • Valentina Janev
  • Damien Graux
  • Hajira Jabeen
  • Emanuel Sallinger
Series Title
Information Systems and Applications, incl. Internet/Web, and HCI
Series Volume
12072
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s)
eBook ISBN
978-3-030-53199-7
DOI
10.1007/978-3-030-53199-7
Softcover ISBN
978-3-030-53198-0
Edition Number
1
Number of Pages
XI, 209
Number of Illustrations
7 b/w illustrations, 32 illustrations in colour
Topics