Knowledge Graphs and Big Data Processing / edited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger.
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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| Superior document: | Information Systems and Applications, incl. Internet/Web, and HCI ; 12072 |
|---|---|
| HerausgeberIn: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2020. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. 2020. |
| Language: | English |
| Series: | Information Systems and Applications, incl. Internet/Web, and HCI ;
12072 |
| Physical Description: | 1 online resource (XI, 209 p. 39 illus., 32 illus. in color.) |
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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.