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Knowledge Graphs and Big Data Processing

  • Book
  • Open Access
  • © 2020

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Overview

  • 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)

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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.

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Keywords

Table of contents (10 chapters)

  1. Foundations

  2. Architecture

  3. Methods and Solutions

  4. Applications

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

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