Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing

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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 companie...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Janev, Valentina (Editor), Graux, Damien (Editor), Jabeen, Hajira (Editor), Sallinger, Emanuel (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Information Systems and Applications, incl. Internet/Web, and HCI, 12072
Subjects:
Database management.
Application software.
Logic programming.
Information technology > Management.
Business information services.
Database Management.
Computer and Information Systems Applications.
Logic in AI.
Computer Application in Administrative Data Processing.
Business Information Systems.
Online Access:Link to Metadata
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Table of Contents:
  • Foundations
  • Chapter 1. Ecosystem of Big Data
  • Chapter 2. Knowledge Graphs: The Layered Perspective
  • Chapter 3. Big Data Outlook, Tools, and Architectures
  • Architecture
  • Chapter 4. Creation of Knowledge Graphs
  • Chapter 5. Federated Query Processing
  • Chapter 6. Reasoning in Knowledge Graphs: An Embeddings Spotlight
  • Methods and Solutions
  • Chapter 7. Scalable Knowledge Graph Processing using SANSA
  • Chapter 8. Context-Based Entity Matching for Big Data
  • Applications
  • Chapter 9. Survey on Big Data Applications
  • Chapter 10. Case Study from the Energy Domain.

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