Knowledge Graphs and Big Data Processing /

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...

Full description

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Janev, Valentina (Editor), Graux, Damien (Editor), Jabeen, Hajira (Editor), Sallinger, Emanuel (Editor)
Format:	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. Artificial intelligence. Computer logic. Management information systems. Database Management. Information Systems Applications (incl. Internet). Logic in AI. Computer Appl. in Administrative Data Processing. Business Information Systems. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.