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  • Book
  • Open Access
  • © 2020

Knowledge Graphs and Big Data Processing

  • Studies the potentials, prospects, and challenges of Big Data Analytics in real-world applications

  • Addresses pertinent aspect of the data processing chain

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12072)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Softcover Book USD 49.99
Price excludes VAT (USA)

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
  2. Foundations

    1. Front Matter

      Pages 1-1
    2. Chapter 1 Ecosystem of Big Data

      • Valentina Janev
      Pages 3-19Open Access
    3. Chapter 2 Knowledge Graphs: The Layered Perspective

      • Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati
      Pages 20-34Open Access
    4. Chapter 3 Big Data Outlook, Tools, and Architectures

      • Hajira Jabeen
      Pages 35-55Open Access
  3. Architecture

    1. Front Matter

      Pages 57-57
    2. Chapter 4 Creation of Knowledge Graphs

      • Anastasia Dimou
      Pages 59-72Open Access
    3. Chapter 5 Federated Query Processing

      • Kemele M. Endris, Maria-Esther Vidal, Damien Graux
      Pages 73-86Open Access
    4. Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight

      • Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati
      Pages 87-101Open Access
  4. Methods and Solutions

    1. Front Matter

      Pages 103-103
    2. Chapter 7 Scalable Knowledge Graph Processing Using SANSA

      • Hajira Jabeen, Damien Graux, Gezim Sejdiu
      Pages 105-121Open Access
    3. Chapter 8 Context-Based Entity Matching for Big Data

      • Mayesha Tasnim, Diego Collarana, Damien Graux, Maria-Esther Vidal
      Pages 122-146Open Access
  5. Applications

    1. Front Matter

      Pages 147-147
    2. Chapter 9 Survey on Big Data Applications

      • Valentina Janev, Dea Pujić, Marko Jelić, Maria-Esther Vidal
      Pages 149-164Open Access
    3. Chapter 10 Case Study from the Energy Domain

      • Dea Pujić, Marko Jelić, Nikola Tomašević, Marko Batić
      Pages 165-180Open Access
  6. Back Matter

    Pages 181-209

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.


  • artificial intelligence
  • big data
  • data analytics
  • data handling
  • data integration
  • data mining
  • databases
  • digital storage
  • domain knowledge
  • graph theory
  • information management
  • information technology
  • integrated data
  • internet
  • knowledge management
  • knowledge-based system
  • ontologies
  • semantics

Editors and Affiliations

  • Institute Mihajlo Pupin, University of Belgrade, Belgrade, Serbia

    Valentina Janev

  • ADAPT SFI Centre, O’Reilly Institute, Trinity College Dublin, Dublin, Ireland

    Damien Graux

  • CEPLAS, Botanical Institute, University of Cologne, Cologne, Germany

    Hajira Jabeen

  • Institute of Logic and Computation, Faculty of Informatics, TU Wien, Wien, Austria

    Emanuel Sallinger

Bibliographic Information

Buying options

Softcover Book USD 49.99
Price excludes VAT (USA)